<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?validation-md5-digest 1065c15623759859f7dca274118dc97a?>
<worksheet version="2.0.2" xmlns="http://schemas.mathsoft.com/worksheet20" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ws="http://schemas.mathsoft.com/worksheet20" xmlns:ml="http://schemas.mathsoft.com/math20" xmlns:u="http://schemas.mathsoft.com/units10" xmlns:p="http://schemas.mathsoft.com/provenance10">
	<metadata>
		<generator>Mathcad Professional 13.0</generator>
		<userData>
			<title/>
			<description/>
			<author>User</author>
			<company/>
			<keywords/>
			<revisedBy>User</revisedBy>
		</userData>
		<identityInfo>
			<revision>6</revision>
			<documentID>8fc5286d-41b8-48c3-9013-0b6e5010fc37</documentID>
			<versionID>6e32c404-1c9f-40a3-8fce-df3c79c3933a</versionID>
			<parentVersionID>00000000-0000-0000-0000-000000000000</parentVersionID>
			<branchID>00000000-0000-0000-0000-000000000000</branchID>
		</identityInfo>
	</metadata>
	<settings>
		<presentation>
			<textRendering>
				<textStyles>
					<textStyle name="Нормаль">
						<blockAttr margin-left="0" margin-right="0" text-indent="0" text-align="left" list-style-type="none" tabs="inherit"/>
						<inlineAttr font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/>
					</textStyle>
				</textStyles>
			</textRendering>
			<mathRendering equation-color="#000">
				<operators multiplication="dot" derivative="derivative" literal-subscript="small" definition="colon-equal" global-definition="triple-equal" local-definition="left-arrow" equality="bold-equal" symbolic-evaluation="right-arrow"/>
				<mathStyles>
					<mathStyle name="Переменные" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="Константы" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="Пользователь 1" font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="Пользователь 2" font-family="Courier New" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="Пользователь 3" font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="Пользователь 4" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="Пользователь 5" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="Пользователь 6" font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="Пользователь 7" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="Математический текстовый шрифт" font-family="Times New Roman" font-charset="0" font-size="14" font-weight="normal" font-style="normal" underline="false"/>
				</mathStyles>
				<dimensionNames mass="масса" length="длина" time="время" current="текущий" thermodynamic-temperature="температура" luminous-intensity="яркость" amount-of-substance="вещество"/>
				<symbolics derivation-steps-style="vertical-insert" show-comments="false" evaluate-in-place="false"/>
				<results>
					<general precision="3" show-trailing-zeros="false" radix="dec" complex-threshold="10" exponential-threshold="3" imaginary-value="i" zero-threshold="15"/>
					<matrix display-style="auto" expand-nested-arrays="false"/>
					<unit format-units="false" simplify-units="false" fractional-unit-exponent="false"/>
				</results>
			</mathRendering>
			<pageModel show-page-frame="false" show-header-frame="false" show-footer-frame="false" header-footer-start-page="1" paper-code="1" orientation="portrait" print-single-page-width="false" page-width="450" page-height="600">
				<margins left="72" right="72" top="72" bottom="72"/>
				<header use-full-page-width="false"/>
				<footer use-full-page-width="false"/>
			</pageModel>
			<colorModel background-color="#fff" default-highlight-color="#ffff80"/>
			<language math="RU" UI="RU"/>
		</presentation>
		<calculation>
			<builtInVariables array-origin="0" convergence-tolerance="0.001" constraint-tolerance="0.001" random-seed="1" prn-precision="4" prn-col-width="8"/>
			<calculationBehavior automatic-recalculation="true" matrix-strict-singularity-check="false" optimize-expressions="false" exact-boolean="true" strings-use-origin="false" zero-over-zero="error">
				<compatibility multiple-assignment="MC12" local-assignment="MC11"/>
			</calculationBehavior>
			<units>
				<currentUnitSystem name="si" customized="false"/>
			</units>
		</calculation>
		<editor protection-level="none" view-annotations="false" view-regions="false">
			<ruler is-visible="false" ruler-unit="in"/>
			<plotTemplate>
				<xy item-idref="1"/>
			</plotTemplate>
			<grid granularity-x="6" granularity-y="6"/>
		</editor>
		<fileFormat image-type="image/png" image-quality="75" save-numeric-results="true" exclude-large-results="false" save-text-images="false" screen-dpi="96"/>
		<miscellaneous>
			<handbook handbook-region-tag-ub="60" can-delete-original-handbook-regions="true" can-delete-user-regions="true" can-print="true" can-copy="true" can-save="true" file-permission-mask="0"/>
		</miscellaneous>
	</settings>
	<regions>
		<region region-id="124" left="24" top="9" width="30.75" height="12.75" align-x="37.5" align-y="18" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define warning="WarnRedefinedBIUnit" xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:id xml:space="preserve">N</ml:id>
					<ml:real>30</ml:real>
				</ml:define>
			</math>
			<rendering item-idref="2"/>
		</region>
		<region region-id="123" left="72" top="9" width="78" height="10.5" align-x="88.5" align-y="18" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="false">
				<p style="Нормаль" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Порядок фильтра</p>
			</text>
		</region>
		<region region-id="119" left="60" top="39" width="37.5" height="12.75" align-x="70.5" align-y="48" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:id xml:space="preserve">k</ml:id>
					<ml:range>
						<ml:real>0</ml:real>
						<ml:id xml:space="preserve">N</ml:id>
					</ml:range>
				</ml:define>
			</math>
			<rendering item-idref="3"/>
		</region>
		<region region-id="120" left="144" top="32.25" width="36.75" height="27.75" align-x="162.75" align-y="48" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define warning="WarnRedefinedBIUnit" xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:apply>
						<ml:indexer/>
						<ml:id xml:space="preserve">Ω</ml:id>
						<ml:id xml:space="preserve">k</ml:id>
					</ml:apply>
					<ml:apply>
						<ml:div/>
						<ml:id xml:space="preserve">k</ml:id>
						<ml:id xml:space="preserve">N</ml:id>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="4"/>
		</region>
		<region region-id="116" left="30" top="62.25" width="44.25" height="27.75" align-x="54" align-y="78" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:id xml:space="preserve">ωsez</ml:id>
					<ml:apply>
						<ml:div/>
						<ml:real>10</ml:real>
						<ml:id xml:space="preserve">N</ml:id>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="5"/>
		</region>
		<region region-id="118" left="108" top="68.25" width="57.75" height="13.5" align-x="131.25" align-y="78" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:eval xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:id xml:space="preserve">ωsez</ml:id>
					<result xmlns="http://schemas.mathsoft.com/math20">
						<ml:real>0.33333333333333331</ml:real>
					</result>
				</ml:eval>
			</math>
			<rendering item-idref="6"/>
		</region>
		<region region-id="126" left="174" top="69" width="63" height="10.5" align-x="189" align-y="78" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="false">
				<p style="Нормаль" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Частота среза</p>
			</text>
		</region>
		<region region-id="73" left="24" top="98.25" width="159" height="32.25" align-x="57" align-y="108" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:apply>
						<ml:indexer/>
						<ml:id xml:space="preserve">Hm_1</ml:id>
						<ml:id xml:space="preserve">k</ml:id>
					</ml:apply>
					<ml:program>
						<ml:ifThen>
							<ml:apply>
								<ml:lessOrEqual/>
								<ml:apply>
									<ml:indexer/>
									<ml:id xml:space="preserve">Ω</ml:id>
									<ml:id xml:space="preserve">k</ml:id>
								</ml:apply>
								<ml:id xml:space="preserve">ωsez</ml:id>
							</ml:apply>
							<ml:localDefine>
								<ml:id xml:space="preserve">Hm_1</ml:id>
								<ml:real>1</ml:real>
							</ml:localDefine>
						</ml:ifThen>
						<ml:otherwise>
							<ml:localDefine>
								<ml:id xml:space="preserve">Hm_1</ml:id>
								<ml:real>0</ml:real>
							</ml:localDefine>
						</ml:otherwise>
					</ml:program>
				</ml:define>
			</math>
			<rendering item-idref="7"/>
		</region>
		<region region-id="110" left="222" top="120" width="274.5" height="132.75" align-x="222" align-y="120" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<plot disable-calc="false" item-idref="8"/>
			<rendering item-idref="9"/>
		</region>
		<region region-id="42" left="90" top="260.25" width="186" height="59.25" align-x="108.75" align-y="276" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define warning="WarnRedefinedBIFunction" xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:apply>
						<ml:indexer/>
						<ml:id xml:space="preserve">Φ</ml:id>
						<ml:id xml:space="preserve">k</ml:id>
					</ml:apply>
					<ml:program>
						<ml:ifThen>
							<ml:apply>
								<ml:lessOrEqual/>
								<ml:id xml:space="preserve">k</ml:id>
								<ml:apply>
									<ml:div/>
									<ml:apply>
										<ml:minus/>
										<ml:id xml:space="preserve">N</ml:id>
										<ml:real>1</ml:real>
									</ml:apply>
									<ml:real>2</ml:real>
								</ml:apply>
							</ml:apply>
							<ml:localDefine>
								<ml:id xml:space="preserve">Φ</ml:id>
								<ml:apply>
									<ml:mult style="default"/>
									<ml:apply>
										<ml:mult style="default"/>
										<ml:apply>
											<ml:div/>
											<ml:apply>
												<ml:minus/>
												<ml:id xml:space="preserve">N</ml:id>
												<ml:real>1</ml:real>
											</ml:apply>
											<ml:id xml:space="preserve">N</ml:id>
										</ml:apply>
										<ml:id xml:space="preserve">π</ml:id>
									</ml:apply>
									<ml:id xml:space="preserve">k</ml:id>
								</ml:apply>
							</ml:localDefine>
						</ml:ifThen>
						<ml:otherwise>
							<ml:localDefine>
								<ml:id xml:space="preserve">Φ</ml:id>
								<ml:apply>
									<ml:mult style="default"/>
									<ml:apply>
										<ml:mult style="default"/>
										<ml:apply>
											<ml:div/>
											<ml:apply>
												<ml:minus/>
												<ml:id xml:space="preserve">N</ml:id>
												<ml:real>1</ml:real>
											</ml:apply>
											<ml:id xml:space="preserve">N</ml:id>
										</ml:apply>
										<ml:id xml:space="preserve">π</ml:id>
									</ml:apply>
									<ml:parens>
										<ml:apply>
											<ml:minus/>
											<ml:id xml:space="preserve">k</ml:id>
											<ml:id xml:space="preserve">N</ml:id>
										</ml:apply>
									</ml:parens>
								</ml:apply>
							</ml:localDefine>
						</ml:otherwise>
					</ml:program>
				</ml:define>
			</math>
			<rendering item-idref="10"/>
		</region>
		<region region-id="45" left="36" top="336" width="405.75" height="131.25" align-x="36" align-y="336" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<plot disable-calc="false" item-idref="11"/>
			<rendering item-idref="12"/>
		</region>
		<region region-id="46" left="96" top="469.5" width="89.25" height="25.5" align-x="120.75" align-y="486" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:apply>
						<ml:indexer/>
						<ml:id xml:space="preserve">H_l</ml:id>
						<ml:id xml:space="preserve">k</ml:id>
					</ml:apply>
					<ml:apply>
						<ml:mult style="default"/>
						<ml:apply>
							<ml:indexer/>
							<ml:id xml:space="preserve">Hm_1</ml:id>
							<ml:id xml:space="preserve">k</ml:id>
						</ml:apply>
						<ml:apply>
							<ml:pow/>
							<ml:id xml:space="preserve">e</ml:id>
							<ml:apply>
								<ml:mult style="default"/>
								<ml:imag symbol="i">1</ml:imag>
								<ml:apply>
									<ml:indexer/>
									<ml:id xml:space="preserve">Φ</ml:id>
									<ml:id xml:space="preserve">k</ml:id>
								</ml:apply>
							</ml:apply>
						</ml:apply>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="13"/>
		</region>
		<region region-id="47" left="66" top="504" width="304.5" height="131.25" align-x="66" align-y="504" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<plot disable-calc="false" item-idref="14"/>
			<rendering item-idref="15"/>
		</region>
		<region region-id="112" left="456" top="402" width="118.5" height="218.25" align-x="480" align-y="510" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:eval xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:apply>
						<ml:indexer/>
						<ml:id xml:space="preserve">H_l</ml:id>
						<ml:id xml:space="preserve">k</ml:id>
					</ml:apply>
					<result xmlns="http://schemas.mathsoft.com/math20">
						<ml:matrix rows="31" cols="1">
							<ml:real>1</ml:real>
							<ml:complex>
								<ml:real>-0.99452189536827329</ml:real>
								<ml:imag>0.10452846326765374</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.97814760073380558</ml:real>
								<ml:imag>-0.20791169081775987</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>-0.95105651629515342</ml:real>
								<ml:imag>0.30901699437494778</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.91354545764260042</ml:real>
								<ml:imag>-0.40673664307580121</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>-0.86602540378443771</ml:real>
								<ml:imag>0.50000000000000155</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.809016994374947</ml:real>
								<ml:imag>-0.58778525229247369</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>-0.74314482547739324</ml:real>
								<ml:imag>0.66913060635885924</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.66913060635885668</ml:real>
								<ml:imag>-0.74314482547739569</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>-0.58778525229247081</ml:real>
								<ml:imag>0.80901699437494912</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.49999999999999695</ml:real>
								<ml:imag>-0.86602540378444037</ml:imag>
							</ml:complex>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
							<ml:real>0</ml:real>
						</ml:matrix>
					</result>
				</ml:eval>
				<resultFormat>
					<table item-idref="16"/>
				</resultFormat>
			</math>
			<rendering item-idref="17"/>
		</region>
		<region region-id="52" left="84" top="654" width="145.5" height="51" align-x="107.25" align-y="684" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:apply>
						<ml:indexer/>
						<ml:id xml:space="preserve">h_l</ml:id>
						<ml:id xml:space="preserve">k</ml:id>
					</ml:apply>
					<ml:apply>
						<ml:mult style="default"/>
						<ml:apply>
							<ml:div/>
							<ml:real>1</ml:real>
							<ml:id xml:space="preserve">N</ml:id>
						</ml:apply>
						<ml:apply>
							<ml:summation/>
							<ml:lambda>
								<ml:boundVars>
									<ml:id xml:space="preserve">n</ml:id>
								</ml:boundVars>
								<ml:parens>
									<ml:apply>
										<ml:mult style="default"/>
										<ml:apply>
											<ml:indexer/>
											<ml:id xml:space="preserve">H_l</ml:id>
											<ml:id xml:space="preserve">n</ml:id>
										</ml:apply>
										<ml:apply>
											<ml:pow/>
											<ml:id xml:space="preserve">e</ml:id>
											<ml:apply>
												<ml:mult style="default"/>
												<ml:imag symbol="i">1</ml:imag>
												<ml:apply>
													<ml:div/>
													<ml:apply>
														<ml:mult style="default"/>
														<ml:apply>
															<ml:mult style="default"/>
															<ml:apply>
																<ml:mult style="default"/>
																<ml:real>2</ml:real>
																<ml:id xml:space="preserve">π</ml:id>
															</ml:apply>
															<ml:id xml:space="preserve">n</ml:id>
														</ml:apply>
														<ml:id xml:space="preserve">k</ml:id>
													</ml:apply>
													<ml:id xml:space="preserve">N</ml:id>
												</ml:apply>
											</ml:apply>
										</ml:apply>
									</ml:apply>
								</ml:parens>
							</ml:lambda>
							<ml:bounds>
								<ml:real>0</ml:real>
								<ml:apply>
									<ml:minus/>
									<ml:id xml:space="preserve">N</ml:id>
									<ml:real>1</ml:real>
								</ml:apply>
							</ml:bounds>
						</ml:apply>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="18"/>
		</region>
		<region region-id="133" left="246" top="675" width="73.5" height="10.5" align-x="270" align-y="684" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="false">
				<p style="Нормаль" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Импульсная хар.</p>
			</text>
		</region>
		<region region-id="56" left="24" top="720" width="266.25" height="131.25" align-x="24" align-y="720" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<plot disable-calc="false" item-idref="19"/>
			<rendering item-idref="20"/>
		</region>
		<region region-id="134" left="342" top="654.75" width="151.5" height="216.75" align-x="364.5" align-y="762" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:eval xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:apply>
						<ml:indexer/>
						<ml:id xml:space="preserve">h_l</ml:id>
						<ml:id xml:space="preserve">k</ml:id>
					</ml:apply>
					<result xmlns="http://schemas.mathsoft.com/math20">
						<ml:matrix rows="31" cols="1">
							<ml:complex>
								<ml:real>0.024243558863082604</ml:real>
								<ml:imag>-0.013997025235715313</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.024243558863082684</ml:real>
								<ml:imag>0.013997025235715284</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>-1.1102230246251566E-17</ml:real>
								<ml:imag>-0.0052794813441511268</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.028867513459481204</ml:real>
								<ml:imag>-0.016666666666666771</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.019459399901002282</ml:real>
								<ml:imag>0.011234889771112129</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>-2.2204460492503132E-17</ml:real>
								<ml:imag>-0.016984181649814228</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.034373391218659156</ml:real>
								<ml:imag>-0.019845486673053251</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.013311774261235136</ml:real>
								<ml:imag>0.00768555645311559</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>-1.5543122344752191E-16</ml:real>
								<ml:imag>-0.033333333333333257</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.042824205143675353</ml:real>
								<ml:imag>-0.0247245663675329</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.0027739637156495079</ml:real>
								<ml:imag>0.0016015486979525594</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>-2.7015426932545474E-16</ml:real>
								<ml:imag>-0.065420350183504977</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.0626012218190978</ml:real>
								<ml:imag>-0.036142832268855847</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>-0.028867513459481027</ml:real>
								<ml:imag>-0.0166666666666666</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>-3.6637359812630164E-16</ml:real>
								<ml:imag>-0.210458383822501</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.3004124850775976</ml:real>
								<ml:imag>-0.17344322912747642</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.30041248507759877</ml:real>
								<ml:imag>0.17344322912747509</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>3.0346096006420946E-16</ml:real>
								<ml:imag>0.21045838382250162</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>-0.028867513459481565</ml:real>
								<ml:imag>0.01666666666666684</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.062601221819097941</ml:real>
								<ml:imag>0.036142832268855334</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>2.1464311809419693E-16</ml:real>
								<ml:imag>0.06542035018350506</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.0027739637156493115</ml:real>
								<ml:imag>-0.001601548697952467</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.042824205143675055</ml:real>
								<ml:imag>0.024724566367532778</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>1.7763568394002506E-16</ml:real>
								<ml:imag>0.033333333333333243</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.01331177426123481</ml:real>
								<ml:imag>-0.0076855564531155534</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.034373391218659427</ml:real>
								<ml:imag>0.019845486673052963</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>3.7007434154171883E-17</ml:real>
								<ml:imag>0.016984181649814467</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.0194593999010021</ml:real>
								<ml:imag>-0.01123488977111237</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.028867513459481381</ml:real>
								<ml:imag>0.016666666666666351</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>3.7747582837255321E-16</ml:real>
								<ml:imag>0.0052794813441512361</ml:imag>
							</ml:complex>
							<ml:complex>
								<ml:real>0.02424355886308233</ml:real>
								<ml:imag>-0.013997025235715629</ml:imag>
							</ml:complex>
						</ml:matrix>
					</result>
				</ml:eval>
				<resultFormat>
					<table item-idref="21"/>
				</resultFormat>
			</math>
			<rendering item-idref="22"/>
		</region>
		<region region-id="131" left="90" top="897" width="64.5" height="10.5" align-x="108.75" align-y="906" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="false">
				<p style="Нормаль" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Проверка ФНЧ</p>
			</text>
		</region>
		<region region-id="127" left="72" top="926.25" width="63.75" height="13.5" align-x="87" align-y="936" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:id xml:space="preserve">Ω</ml:id>
					<ml:range>
						<ml:sequence>
							<ml:real>0</ml:real>
							<ml:real>0.001</ml:real>
						</ml:sequence>
						<ml:real>2</ml:real>
					</ml:range>
				</ml:define>
			</math>
			<rendering item-idref="23"/>
		</region>
		<region region-id="128" left="72" top="943.5" width="150.75" height="43.5" align-x="111.75" align-y="966" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math20">
					<ml:function>
						<ml:id xml:space="preserve">Hr_l</ml:id>
						<ml:boundVars>
							<ml:id xml:space="preserve">Ω</ml:id>
						</ml:boundVars>
					</ml:function>
					<ml:apply>
						<ml:summation/>
						<ml:lambda>
							<ml:boundVars>
								<ml:id xml:space="preserve">n</ml:id>
							</ml:boundVars>
							<ml:parens>
								<ml:apply>
									<ml:mult style="default"/>
									<ml:apply>
										<ml:indexer/>
										<ml:id xml:space="preserve">h_l</ml:id>
										<ml:id xml:space="preserve">n</ml:id>
									</ml:apply>
									<ml:apply>
										<ml:pow/>
										<ml:id xml:space="preserve">e</ml:id>
										<ml:apply>
											<ml:mult style="default"/>
											<ml:apply>
												<ml:mult style="default"/>
												<ml:apply>
													<ml:mult style="default"/>
													<ml:apply>
														<ml:mult style="default"/>
														<ml:imag symbol="i">-1</ml:imag>
														<ml:real>2</ml:real>
													</ml:apply>
													<ml:id xml:space="preserve">π</ml:id>
												</ml:apply>
												<ml:id xml:space="preserve">Ω</ml:id>
											</ml:apply>
											<ml:id xml:space="preserve">n</ml:id>
										</ml:apply>
									</ml:apply>
								</ml:apply>
							</ml:parens>
						</ml:lambda>
						<ml:bounds>
							<ml:real>0</ml:real>
							<ml:apply>
								<ml:minus/>
								<ml:id xml:space="preserve">N</ml:id>
								<ml:real>1</ml:real>
							</ml:apply>
						</ml:bounds>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="24"/>
		</region>
		<region region-id="129" left="24" top="996" width="374.25" height="203.25" align-x="24" align-y="996" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<plot disable-calc="false" item-idref="25"/>
			<rendering item-idref="26"/>
		</region>
		<region region-id="91" left="288" top="1219.5" width="106.5" height="28.5" align-x="318.75" align-y="1236" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math20">
					<originRef doc-id="7a041378-3c27-4dfc-83e0-5cdb69dacf59" version-id="65544d2a-e75b-47c9-b3af-0996a9b060b2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="6" is-modified="false" region-id="0" href="C:\Documents and Settings\Admin\Мои документы\хартли всё.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</originRef>
					<parentRef doc-id="7a041378-3c27-4dfc-83e0-5cdb69dacf59" version-id="65544d2a-e75b-47c9-b3af-0996a9b060b2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="6" is-modified="false" region-id="0" href="C:\Documents and Settings\Admin\Мои документы\хартли всё.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</parentRef>
					<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<contentHash xmlns="http://schemas.mathsoft.com/provenance10">feb176e546d8a99f73482b43e5658c46</contentHash>
					<ml:define>
						<ml:function>
							<ml:id xml:space="preserve">cas</ml:id>
							<ml:boundVars>
								<ml:id xml:space="preserve">x</ml:id>
							</ml:boundVars>
						</ml:function>
						<ml:apply>
							<ml:mult style="default"/>
							<ml:apply>
								<ml:sqrt/>
								<ml:real>2</ml:real>
							</ml:apply>
							<ml:apply>
								<ml:id xml:space="preserve">cos</ml:id>
								<ml:apply>
									<ml:minus/>
									<ml:id xml:space="preserve">x</ml:id>
									<ml:apply>
										<ml:div/>
										<ml:id xml:space="preserve">π</ml:id>
										<ml:real>4</ml:real>
									</ml:apply>
								</ml:apply>
							</ml:apply>
						</ml:apply>
					</ml:define>
				</ml:provenance>
			</math>
			<rendering item-idref="27">
				<element-image-map>
					<box left="1.5" top="0.75" width="105" height="27" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet20"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="92" left="60" top="1243.5" width="187.5" height="43.5" align-x="83.25" align-y="1266" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math error="bad_function Time " optimize="false" disable-calc="false">
				<ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math20">
					<originRef doc-id="7a041378-3c27-4dfc-83e0-5cdb69dacf59" version-id="65544d2a-e75b-47c9-b3af-0996a9b060b2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="6" is-modified="false" region-id="0" href="C:\Documents and Settings\Admin\Мои документы\хартли всё.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</originRef>
					<parentRef doc-id="7a041378-3c27-4dfc-83e0-5cdb69dacf59" version-id="65544d2a-e75b-47c9-b3af-0996a9b060b2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="6" is-modified="false" region-id="0" href="C:\Documents and Settings\Admin\Мои документы\хартли всё.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</parentRef>
					<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<contentHash xmlns="http://schemas.mathsoft.com/provenance10">5dff19a279afc828955e5598abb869c7</contentHash>
					<ml:define>
						<ml:apply>
							<ml:indexer/>
							<ml:id xml:space="preserve">Sh</ml:id>
							<ml:id xml:space="preserve">m</ml:id>
						</ml:apply>
						<ml:apply>
							<ml:mult style="default"/>
							<ml:apply>
								<ml:div/>
								<ml:real>1</ml:real>
								<ml:id xml:space="preserve">N</ml:id>
							</ml:apply>
							<ml:apply>
								<ml:summation/>
								<ml:lambda>
									<ml:boundVars>
										<ml:id xml:space="preserve">n</ml:id>
									</ml:boundVars>
									<ml:parens>
										<ml:apply>
											<ml:mult style="default"/>
											<ml:apply>
												<ml:id xml:space="preserve">s</ml:id>
												<ml:id xml:space="preserve">n</ml:id>
											</ml:apply>
											<ml:apply>
												<ml:id xml:space="preserve">cas</ml:id>
												<ml:apply>
													<ml:mult style="default"/>
													<ml:apply>
														<ml:mult style="default"/>
														<ml:apply>
															<ml:mult style="default"/>
															<ml:apply>
																<ml:mult style="default"/>
																<ml:real>2</ml:real>
																<ml:id xml:space="preserve">π</ml:id>
															</ml:apply>
															<ml:id xml:space="preserve">m</ml:id>
														</ml:apply>
														<ml:id xml:space="preserve">Δf</ml:id>
													</ml:apply>
													<ml:id xml:space="preserve">n</ml:id>
												</ml:apply>
											</ml:apply>
										</ml:apply>
									</ml:parens>
								</ml:lambda>
								<ml:bounds>
									<ml:real>0</ml:real>
									<ml:apply>
										<ml:minus/>
										<ml:id xml:space="preserve">N</ml:id>
										<ml:real>1</ml:real>
									</ml:apply>
								</ml:bounds>
							</ml:apply>
						</ml:apply>
					</ml:define>
				</ml:provenance>
			</math>
			<rendering item-idref="28">
				<element-image-map>
					<box left="1.5" top="0.75" width="186" height="42" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet20"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="93" left="276" top="1261.5" width="183.75" height="43.5" align-x="296.25" align-y="1284" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math error="bad_variable" optimize="false" disable-calc="false">
				<ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math20">
					<originRef doc-id="7a041378-3c27-4dfc-83e0-5cdb69dacf59" version-id="65544d2a-e75b-47c9-b3af-0996a9b060b2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="6" is-modified="false" region-id="0" href="C:\Documents and Settings\Admin\Мои документы\хартли всё.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</originRef>
					<parentRef doc-id="7a041378-3c27-4dfc-83e0-5cdb69dacf59" version-id="65544d2a-e75b-47c9-b3af-0996a9b060b2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="6" is-modified="false" region-id="0" href="C:\Documents and Settings\Admin\Мои документы\хартли всё.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</parentRef>
					<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<contentHash xmlns="http://schemas.mathsoft.com/provenance10">0f750e59a2263df1f61a3149416a4fc8</contentHash>
					<ml:define>
						<ml:apply>
							<ml:indexer/>
							<ml:id xml:space="preserve">sh</ml:id>
							<ml:id xml:space="preserve">n</ml:id>
						</ml:apply>
						<ml:apply>
							<ml:mult style="default"/>
							<ml:apply>
								<ml:div/>
								<ml:real>1</ml:real>
								<ml:real>1</ml:real>
							</ml:apply>
							<ml:apply>
								<ml:summation/>
								<ml:lambda>
									<ml:boundVars>
										<ml:id xml:space="preserve">m</ml:id>
									</ml:boundVars>
									<ml:parens>
										<ml:apply>
											<ml:mult style="default"/>
											<ml:apply>
												<ml:indexer/>
												<ml:id xml:space="preserve">Sh</ml:id>
												<ml:id xml:space="preserve">m</ml:id>
											</ml:apply>
											<ml:apply>
												<ml:id xml:space="preserve">cas</ml:id>
												<ml:apply>
													<ml:mult style="default"/>
													<ml:apply>
														<ml:mult style="default"/>
														<ml:apply>
															<ml:mult style="default"/>
															<ml:apply>
																<ml:mult style="default"/>
																<ml:real>2</ml:real>
																<ml:id xml:space="preserve">π</ml:id>
															</ml:apply>
															<ml:id xml:space="preserve">m</ml:id>
														</ml:apply>
														<ml:id xml:space="preserve">Δf</ml:id>
													</ml:apply>
													<ml:id xml:space="preserve">n</ml:id>
												</ml:apply>
											</ml:apply>
										</ml:apply>
									</ml:parens>
								</ml:lambda>
								<ml:bounds>
									<ml:real>0</ml:real>
									<ml:apply>
										<ml:minus/>
										<ml:id xml:space="preserve">M</ml:id>
										<ml:real>1</ml:real>
									</ml:apply>
								</ml:bounds>
							</ml:apply>
						</ml:apply>
					</ml:define>
				</ml:provenance>
			</math>
			<rendering item-idref="29">
				<element-image-map>
					<box left="1.5" top="0.75" width="182.25" height="42" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet20"/>
				</element-image-map>
			</rendering>
		</region>
	</regions>
	<binaryContent>
		<item item-id="1" content-encoding="gzip">H4sIAAAAAAAA/4yNvQ6CQBCEdzlQwd/GGhMbj9InsCBWJj6CnvifEA1SWPrm5+yCvUf2GGa/
GQZExBiHSVQb3OPjcnep3PO6Oz+q0tURyZljYrVzVzu1aIHplcX2cD8VdWPtmxcFM1ym7Z9K
q2r5Stz79lprtVE2w2y4ZZvj8RBn/7u/8m5dueK0zANd2RZMeUJs2Ytitlj6lAO2BtGUDdvQ
ixOCIQ8RgfmssOoII6muMhA9YQSOpUfiCRiN98FofABG40P9F8RIGYixMAJ/AQAA//8DAMuS
Xhh8AQAA</item>
		<item item-id="2">iVBORw0KGgoAAAANSUhEUgAAACgAAAARCAYAAACvi+4IAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ALNJREFUSEvVltEKwCAIRduf78+3igxzWpYTqpdISI73Otv1xBV2Xglw5xV2hsvuHgUYWzH1
Y8MMMRq3FiblpfGPghyIBxwuEPKz4lAlJBWtivXuTwOW0VNz9hS0qovvqxUEMqkyTg3cO9q+
pW65AlpaYMlirKLGxhUFR07lnNxHoolZFJPyDy3uzSYJSKOuNCk0c/eclyTc5AWZPP9peTPE
88yLMBhw9uwFV38WAG519wR8AZlJ35xwIqFuAAAAAElFTkSuQmCC</item>
		<item item-id="3">iVBORw0KGgoAAAANSUhEUgAAADIAAAARCAYAAACfB/8pAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AKpJREFUSEvtldEOgCAIRe3/P7rURUMTMEJtLLdeKoHDvcq2xxU8rATiYQUPENlVLkHiURnG
lWLDo0nS2otjXpW/SSIVVjdI27DWPnhXSKBNMBOEagoJQimkgbVWBMdjFekptvCn4H9rkHP2
ZSOQID0QkpXq70tAMCVX8GpFoE7xsFsqM0IRaPINpL7nLQ877h53hXJuoOZQU5Gn3v/S/+NG
+WTKH2Ryw8V0B4qPfR8W+xgnAAAAAElFTkSuQmCC</item>
		<item item-id="4">iVBORw0KGgoAAAANSUhEUgAAADIAAAAlCAYAAAAA7LqSAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AUZJREFUWEftmFESgyAMROnNe3MrjjohJLAEi4bRn9YWJI/dJOpnWY8wwxFBZjjCDBCbq16Q
wTuwpnFxRReKRIgpQPbK6l8RDiIp5MJaFESzmCuQUp64AinlijsQDcYFyJHch7XgZKcTkRo+
uDeKy2WKqFWh0lnvhklAqt3zwTBmENRytc25SkkzCHLbQIOU8u5KyGEgrTuvgWuFqCvZS+WQ
B36LItT//Du3S6vFWpVBx2fW0pqP2ISQ54RBla6rs1NroTv3r3EnSPimTMg5rTpXViAL7BZ9
DJoGDp3vttosF+cDNjMFKFyX2/98i3JA9H5aAkXmSGrz30KzEsSCXDkkKMsYrdCkFdSQG8kF
2HxLoLU5UlHJFKld5An/S0XlBblTmTyx8xd2XQ1xFBxUtUYFY11H6hnS/Z0LRZBNeEGQXRo5
ZhpFfs0yP8HdyOVrAAAAAElFTkSuQmCC</item>
		<item item-id="5">iVBORw0KGgoAAAANSUhEUgAAADsAAAAlCAYAAAD8+ZFYAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ATRJREFUaEPtmEkOgzAMRen9D91C1SDbeFS6+XGQ2BAGfz9P4fU+j6PLcYntchxdhH4jeIsF
8sBZbh7WXtfGSRehyaqChHjqDGixv07CyErSWyxQmqZJSvI7jJEoezm6ySKRZH3T6qcr9tkq
JPgCVRHcVywdv7RRbFQ3a0xj0wrJG+9dFTKz995kswLGB6Uwed1a1wymg7s1xM8KZVu8yHhK
VX5YGisr5j8Mtaqw5SjNJkY2okbXs+S0LVjkLCvsZ51WEpuln3XarPHV51k1jgqUl0+ShhZe
GtGqwTP39209M15DeBaerNcyHzsiBCKRjdZPt0eNiF6EsJ758caGCgRRlo2DbNT74XN2THbe
uHqvIRP1hhc1j1cT687wK4qVob1MGFsj7LJhnI3OJarxFqt4oBXZDwS+UWQclnpDAAAAAElF
TkSuQmCC</item>
		<item item-id="6">iVBORw0KGgoAAAANSUhEUgAAAEwAAAASCAYAAADxEzisAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AP5JREFUWEftloEKxCAMQ7f//+i7TfDopLGJKMOjwmB0Xa3PtHp+rnHk4AncwHLwBA7eNT1L
NSYGjUAC03jtpbCrM98HVHnQQD6qHcYXAb/m3kLyoCEf1d5b5DYlyQBrF4qUqNpt3AcwK3ck
/UjaNbj1i8qIka0KTIXSK3MXmLeo1maDRu/o+2Ny05Oi/qQAizbbU+IQMKsO9I56R095jIIi
HwWYl3u7Ud58DLRfSUaK8ZQRJVYueuSJNlNhUV5qucKSZBQ2wydSE7P7lBrAZk0BVtVQg/V6
Wq8sVzV9mx8qz/agQblE9r+4VoyocsU/29zDVix+JGYCE6klMBHYF+2Ob48hJlRAAAAAAElF
TkSuQmCC</item>
		<item item-id="7">iVBORw0KGgoAAAANSUhEUgAAANcAAAArCAYAAADrLR3XAAAAAXNSR0IArs4c6QAAAARnQU1B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=</item>
		<item item-id="8" content-encoding="gzip">H4sIAAAAAAAA/2xSTVMTQRDt2e9d8kEwQaImi2A0ywnyC0aK0lRpacnFKrUqLskK0QqJy0Bx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</item>
		<item item-id="9">iVBORw0KGgoAAAANSUhEUgAAAXAAAACxCAYAAADd2uaaAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="10">iVBORw0KGgoAAAANSUhEUgAAAPsAAABPCAYAAAAtKbPFAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="11" content-encoding="gzip">H4sIAAAAAAAA/2xSTW/TQBCdXTt2kuajCZCkJWBIAqmDqJqEShyXqiqRgCL1CEjBTUwbUHBw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</item>
		<item item-id="12">iVBORw0KGgoAAAANSUhEUgAAAh0AAACvCAYAAABZ/WywAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="13">iVBORw0KGgoAAAANSUhEUgAAAHcAAAAiCAYAAABlekbOAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="14" content-encoding="gzip">H4sIAAAAAAAA/2xS227TQBCdtR3fmksbSNoGiENTLq6EKOEHhqqCSCAq9QnBQ3AT06ZQElyD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</item>
		<item item-id="15">iVBORw0KGgoAAAANSUhEUgAAAZYAAACvCAYAAADe+vhHAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="16" content-encoding="gzip">H4sIAAAAAAAA/+JhYGBgBOJEIOYCs5mAJEtJUWqqBAMIOAAxR26yf1JWanIJWIQhAYhtGCFS
zGD1nM5hwa6FniWpuYxgFTxAzIYswAsmWcCKeYCKnfNzk/JB0hATBYCYHSiMEOEH2QF0UBdQ
hyQQpwH5ikCz/v8HqQYq9c9Jdc7JTM0rAesBynBAfQIlgXovnBd8sHCj1EMGNGAHdPW//5wM
bEhijHDdEOcwQfn//oNshID/o2BIgb9A/A8Jj4KRBYIY8oGwhEGBwZUhD0gXMVSiFwV4gRgD
KzzPg8qCXexZAUY2bK7zJBvfvv/E8AJZ7YE5xi1eajcYmYFsB2hB4gy0HWRvKpgsJsluEBBi
YGJE9g+x+iwZCashFpBjPzUBJfaDggFUjoPihIUBUpaPgpEDQM2ObmA74J4sJD1woaQMOBvE
EQDiECAWhIgJQZkpmaC0ww/VywzVkYnQDJKqAOIv/1GT5wSIDWdAhG+wQnBGak6OgktOOrIa
jcYKUDuJ4RsJehWAejgEEHptQERIz0nD5AuCy3oZFqicZ70Ia8ogGkSY2QLBAWUQEAY1hkSg
gkD3/MeCkQE+MXzi9MRgjwIAAAD//wMA+2gZ6+EKAAA=</item>
		<item item-id="17">iVBORw0KGgoAAAANSUhEUgAAAKIAAAEjCAYAAACxadrSAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="18">iVBORw0KGgoAAAANSUhEUgAAAMIAAABECAYAAADTCOr0AAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="19" content-encoding="gzip">H4sIAAAAAAAA/2xSTW/TQBCdtZ04TvPRBpK2AeLQFIp7QKEIieNSVVAJBFKPcAhuYpoUioNr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</item>
		<item item-id="20">iVBORw0KGgoAAAANSUhEUgAAAWMAAACvCAYAAAAon7+aAAAAAXNSR0IArs4c6QAAAARnQU1B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=</item>
		<item item-id="21" content-encoding="gzip">H4sIAAAAAAAA/+JhYGBgBOJEIOYCs5mAJEtJUWqqBAMIOAAxR26yf1JWanIJWIQhAYhtGCFS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</item>
		<item item-id="22">iVBORw0KGgoAAAANSUhEUgAAAM4AAAEhCAYAAAA3ep8nAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="23">iVBORw0KGgoAAAANSUhEUgAAAFUAAAASCAYAAAAqqJKOAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AQRJREFUWEftloEOhCAIhuv9H/ouXd6UQH6Jpu1wa2uF/PgB6v45xhbDl0CCGsOXwObrLrzl
zg8M/gQCqj9TvlKPXTsdXs3zgHZ2WesgGoi9ZNObm/5ZB/V78SQ5vyMqBUt9ahqIvWTTm1ug
WKByfhuoo4uyBFHPQSCN2luglo65u55f5/WCpiI96FpCuIAD6rn/adnk9mN0S9ESgyRhZqUW
7Wj/s0q0hGrFVG8h7gfVv1ZqnRS2UuvTkL4jGUNtkHZ+w0HVAE1XURr05c4F3let7UP1uHik
GCXgks/R7/RWwK2R7Uy0qmbZWZM1K96ciJnimvYbgS4PVYO+6v+lK3VVaFpcX5LXoXndkVRB
AAAAAElFTkSuQmCC</item>
		<item item-id="24">iVBORw0KGgoAAAANSUhEUgAAAMkAAAA6CAYAAAAawH2yAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="25" content-encoding="gzip">H4sIAAAAAAAA/2xSTW/TQBCd9Wec5qNNS9ISwEkboOmhSqNy4MRQVRAJBFIvlQApuIlpgygJ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</item>
		<item item-id="26">iVBORw0KGgoAAAANSUhEUgAAAfMAAAEPCAYAAABWXy0pAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="27">iVBORw0KGgoAAAANSUhEUgAAAI4AAAAmCAYAAAASsqOLAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="28">iVBORw0KGgoAAAANSUhEUgAAAPoAAAA6CAYAAACZBESJAAAAAXNSR0IArs4c6QAAAARnQU1B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=</item>
		<item item-id="29">iVBORw0KGgoAAAANSUhEUgAAAPUAAAA6CAYAAABoDx8EAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
BjJJREFUeF7tnE1SIzEMhWcOyD04BEfgBFyAPXvWbNmyZMmOGzBRiDOOYtmS2nba9usqqiD4
R/qkZ7vd7fz9OVx/cIEACMxDgESNCwRAYB4Cf+ZxBZ6AAAgcV97AAAIgMBeBJUV9uHmifYTj
T+oq/V+qM1dqwJtRCSwp6tPmYFHU2qDmBghtGygHArUILC3qIO4YZpi9pVlcAm8tXyuAaAcE
OAGImi3BIWqIZHQCy4s6nq3j2dY681rLj544sH+/BCBqegRwmq0lUccbZ9ImGkS93yRfzTKI
WiFqTVJA1BpKKNODAER9osxFaRWptXyP4KKPNQksKerUEpovvS2PqTzPtddMN3jdg8AwosZM
2CMd0McMBIYQtWXWnCEo8AEEthAYQtTxY6ctzqIuCKxAAKJeIcrwcSkCEPWNw/3x8XFjC9D9
6AR4DkHUN4zo9/f3z+yixgZn3QRL8Xx/f7/oBKI+4Li/vz8fxZTeHst97g3b6+urt+oQ9SDo
+mGSmMa5BFEfuH99ff3c3d0dhU2/ay6aYUMdTflUmefnZ2/VIepB1G3ClOL68vJy7mwIUfd4
uYNESv2QUGlZrLlo2eNNXBo84kBo+hupjJfLSD7eytYUW5qpw4SkEvUqAXp7ezuK9OHhQR0v
Lxvqi34ub4YO4aDDJeE4aHwsVPiWFrWhnQumuPQYnDu7eewulwOtfOZ90qQU7q2Lol7txQ9a
EpPPT09PTfODZunPz8//fXDRcnEPLmqehN7BsGlQnI1LvvBXj53NJ6vxPimXwsqvKOrSSFTT
0L20RTM1QWu5PH58fMyL+he8LPq9wBLsKIm29P+du8cWWPJ33bXyg/OjpTfl1DFteKep5UJo
wDtrjxjAsCPOHxfUChK1f3XFs/N1YH4/yZWpZJy0ZJTin8sZySRPTsT9bM3FuL7HluBXrI3Y
V26rNTQlzaVsDreNF6KWlgscoBdCKijetqyQrOU9O+KWPrJ+p4TLP2u0HM/lAE9kvorTLjc9
Mefi8bbBxSyJUhvLXH2PjYFpSXOpts+2pEaX1OzNy2md3lJOGgRysLwgU3Z6dsS1/qrszC2/
N4jayy+ORyzwXIKleHj7jwcRbxuaQUub69yG0t8lXeX61bSdFLUUKE2DmmQeaaYO/nh2xLUs
LsqlRNpI1Dn7JLGUZuHSzJKa5TWcJCGoBsVEB1ZRW1jV0glfAWn+vhjwpNEhF0QvUE8Q91CH
NiBqvyhyxVBacv9XwyWKDTO1NlE1AtCUSQnak0PxwMEHEW2eWOwttVkSscdHafAr9ZUVdWrE
TcG0GGwpWwLZ+/90b215bq21Lynq38hcb4bxz1JltB0rykmC4SutkEi58nGSpuorzDkX4YK0
5lXcf2w7/11jk7TqDDbxvjRtplilGEt+n/u2dLZaWXqzrIWgiWOrdvcUI6vo9mT7nm2RuCZ3
v62O8BncWn/v5WnZrX0X3OrL1XNqawOn8lIM9iCoPdjgxLrbahJTmoDE59RWb3oJu3eC0D10
q2fUxPjqjTIr+Ki8dK/Zm1nKhT3YsAHt7qpKPM1vlOU84/c5LShI92wt+qI26eX41sciacCo
1YcUAwiqVYbsr116/BrOEqheE721qMNmQQ+UJDbLTjcte+hkl/WiepZ+PDGAqK1RGbe8+ZSW
J6Fq4+mRoPH7s1r7CWa4l9HWCeVqHRrBTG0lP1/5auepc48IamPrIWrLjjTNtCRosst78KPG
8rvmY5raMUN7/QjEx3g3L797md1a1OFkVu75o/S/LRtqV2eqewFFP9MQwBcPJkIZzlB7BE11
Ls5FG1Nl9i8eNOJAcQcBiNoBDVVAYCQCQyy/t7xyN1IwYCsI1CAwhKhrOIo2QGAVAhD1KpGG
n8sQgKiXCTUcXYUARF0p0rjvrwQSzWwmAFFvRnj9vc+tn6lXMBlNTEwAoq4QXC5iiLoCVDTh
JrCMqFueO4ao3fmHig0ILCNqYmc9dyy9YcbjAFE3yEw06SawnKgDqZrnwCFqd/6hYgMCEPVp
Bk+xxUzdIOPQZHMCEHVG1Fr6mKm1pFCuB4FlRN363DGeU/dIV/ShIbCMqDUwUAYEZiAAUc8Q
RfgAAhEBiBrpAAKTEYCoJwso3AGBf/9W3VERmobQAAAAAElFTkSuQmCC</item>
	</binaryContent>
</worksheet>