(* Content-type: application/vnd.wolfram.cdf.text *) (*** Wolfram CDF File ***) (* http://www.wolfram.com/cdf *) (* CreatedBy='Mathematica 8.0' *) (*************************************************************************) (* *) (* The Mathematica License under which this file was created prohibits *) (* restricting third parties in receipt of this file from republishing *) (* or redistributing it by any means, including but not limited to *) (* rights management or terms of use, without the express consent of *) (* Wolfram Research, Inc. *) (* *) (*************************************************************************) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 835, 17] NotebookDataLength[ 215734, 3869] NotebookOptionsPosition[ 188844, 3284] NotebookOutlinePosition[ 215120, 3845] CellTagsIndexPosition[ 215007, 3839] WindowTitle->Noise Retrieval from Averaged Sequences WindowFrame->Normal*) (* Beginning of 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Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Module[{$CellContext`clearData$, $CellContext`genNewData$, \ $CellContext`currNStr$, $CellContext`dataExist$ = False}, $CellContext`clearData$ = ($CellContext`currNPts$$ = \ $CellContext`nPts$$; $CellContext`currN$$ = $CellContext`n$$; If[$CellContext`seqi$$ > $CellContext`currN$$, $CellContext`seqi$$ = \ $CellContext`currN$$]; $CellContext`data$$ = Table[0., {$CellContext`n$$}, {$CellContext`nPts$$}]; \ $CellContext`avgData$$ = Table[0., {$CellContext`nPts$$}]; $CellContext`sqrtnAvgData$$ = Table[0., {$CellContext`nPts$$}]); $CellContext`genNewData$ = \ ($CellContext`currNPts$$ = $CellContext`nPts$$; $CellContext`currN$$ = \ $CellContext`n$$; If[$CellContext`seqi$$ > $CellContext`currN$$, $CellContext`seqi$$ = \ $CellContext`currN$$]; $CellContext`data$$ = Table[ RandomReal[{-1., 1.}], {$CellContext`n$$}, {$CellContext`nPts$$}]; \ $CellContext`avgData$$ = Mean[$CellContext`data$$]; $CellContext`sqrtnAvgData$$ = \ $CellContext`avgData$$ Sqrt[$CellContext`n$$]); DynamicModule[{$CellContext`seqTitle, $CellContext`sqrtNStr}, If[$CellContext`seqi$$ > $CellContext`currN$$, $CellContext`seqi$$ = \ $CellContext`currN$$]; If[ And[$CellContext`genData$$, Not[$CellContext`dataExist$]], $CellContext`genNewData$; \ $CellContext`dataExist$ = True, If[ And[ Not[$CellContext`genData$$], $CellContext`dataExist$], \ $CellContext`clearData$; $CellContext`dataExist$ = False]]; $CellContext`currNStr$ = ToString[$CellContext`currN$$]; $CellContext`sqrtNStr = Style[ StringJoin["averaged * Sqrt[", $CellContext`currNStr$, "]"], Black, Bold, 12]; If[$CellContext`plotAll$$, $CellContext`seqTitle = StringJoin[$CellContext`currNStr$, " random sequences"], $CellContext`seqTitle = StringJoin["random sequence ", ToString[$CellContext`seqi$$]]]; Pane[ Column[{ If[$CellContext`plotAll$$, ListPlot[$CellContext`data$$, PlotRange -> {{1, $CellContext`currNPts$$}, {-1., 1.}}, Joined -> True, Frame -> True, AspectRatio -> 1/2.5, FrameLabel -> {{ Style["amplitude", Black, 12], None}, {"", Style[$CellContext`seqTitle, Black, Bold, 12]}}, ImageSize -> {350, 155}, ImagePadding -> {{45, 10}, {35, 30}}, AxesOrigin -> {0, 0}], ListPlot[ Part[$CellContext`data$$, $CellContext`seqi$$, All], PlotRange -> {{1, $CellContext`currNPts$$}, {-1., 1.}}, Joined -> True, Frame -> True, AspectRatio -> 1/2.5, FrameLabel -> {{ Style["amplitude", Black, 12], None}, {"", Style[$CellContext`seqTitle, Black, Bold, 12]}}, ImageSize -> {350, 155}, ImagePadding -> {{45, 10}, {35, 30}}, AxesOrigin -> {0, 0}]], ListPlot[$CellContext`avgData$$, PlotRange -> {{1, $CellContext`currNPts$$}, {-1., 1.}}, Joined -> True, Frame -> True, AspectRatio -> 1/2.5, PlotStyle -> { AbsoluteThickness[1], Blue}, FrameLabel -> {{ Style["amplitude", Black, 12], None}, {"", Style[ StringJoin[ "average of ", $CellContext`currNStr$, " random sequences"], Black, Bold, 12]}}, ImageSize -> {350, 155}, ImagePadding -> {{45, 10}, {35, 30}}, AxesOrigin -> {0, 0}], ListPlot[$CellContext`sqrtnAvgData$$, PlotRange -> {{1, $CellContext`currNPts$$}, {-1., 1.}}, Joined -> True, Frame -> True, AspectRatio -> 1/2.5, FrameLabel -> {{ Style["amplitude", Black, 12], None}, { Style["point number", Black, 12], $CellContext`sqrtNStr}}, ImageSize -> {350, 155}, ImagePadding -> {{45, 10}, {35, 30}}, AxesOrigin -> {0, 0}]}], ImageSize -> {350, 480}]]], "Specifications" :> {{{$CellContext`genData$$, True, "data"}, { False -> "clear old", True -> "generate new"}}, "\nnumber of random sequences", {{$CellContext`n$$, 60, "n"}, 10, 100, 1, Appearance -> "Labeled", ImageSize -> Small}, "\nnumber of points in a sequence", {{$CellContext`nPts$$, 50, "m"}, 10, 100, 1, Appearance -> "Labeled", ImageSize -> Small}, "\n", Row[{ Checkbox[ Dynamic[$CellContext`plotAll$$], {False, True}], "plot all sequences"}], {{$CellContext`plotAll$$, False, ""}, { False, True}, ControlType -> None}, " \nplot only sequence i", {{$CellContext`seqi$$, 1, "i"}, 1, Dynamic[$CellContext`currN$$], 1, Appearance -> "Labeled", ImageSize -> Small}, {{$CellContext`currNPts$$, 50}, ControlType -> None}, {{$CellContext`currN$$, 60}, ControlType -> None}, {{$CellContext`data$$, CompressedData[" 1:eJwUm3tci+8bx4cQQnRQCpNKEZIQ4hqKJAlREUXlWwlJlIQhCakhlEKIis4l pXSt87nWeZ3Xttp5K0VF+D2/P/qvtee57+v6fN5vr5elp84fdJtMIpFMiR8j 4kdx0rNCVk0rsNwiNt9NKgbbojgNjUkSkFeKeEmT9oE3LdzMb6ICmGNf21pV e5G0kLFZbsNtMAlf9FRuahuMWU/TWDeFAWnx1k9jzdqBVVKz7dxGKdpYaWuc XdoMdEu1nNwVbHC+r9Hp/KIEFIUXzpu1VWJJ1Rod+TliIBf2Nu27wATFozvs nA+xMC3uOVfdkoWRSf2MVxeFYF//5Ov210KIZVz9OLK+BlnieWllT/gQKb6e 4rmwCyqgqis0XQT5O67ezd8mQ/um33NTK4VgdspNJWqtFLzv9/98W9iOesHY tdd4AGzntC14msWB2Ic2P7cvz8EYlz8qnht4kDZDErvLpBT09JP1KMeEGPNs xpDSKx64G4u2m4w2I7Wz5vc5nVL01VTlfT7ARdZwXKr1nnKk7z51I9ysE+X3 zKZq53ZA2vtPs09f7AXuftXkjHwWcPuPkW3o/WBiHrhrW3gXcMd7PAqniIEq c4kuZj0D55mkJUf7GUBNWPx52/x04O9r6ZkT2AvMmT7vp/7jA0vIf+yZ0oZZ 5Xm1xndZqOiwxq/sDB30JrtH3JS1gmFM3pvK6AqkDESkBvrEA3lCf7N1XBPS 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It also shows how the original jaggedness can be \ restored by multiplying the averaged values by the square root of the number \ of sequences generated. 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This Demonstration generates a chosen number of random sequences, \ ", Cell[BoxData[ FormBox["n", TraditionalForm]], "InlineMath"], ", each containing a chosen number of points, ", Cell[BoxData[ FormBox["m", TraditionalForm]], "InlineMath"], ". It then averages all the sequences, after which it multiplies the \ averaged values by the square root of the number of sequences, ", Cell[BoxData[ FormBox[ SqrtBox["n"], TraditionalForm]], "InlineMath"], ". You can choose whether to plot all the generated sequences together or \ any individual sequence alone. The averaged sequence in which the noise \ amplitude is evidently suppressed is plotted next. The third plot displays \ the averaged sequence after each of its values has been multiplied by ", Cell[BoxData[ FormBox[ SqrtBox["n"], TraditionalForm]], "InlineMath"], ". You can see the similarity between the recreated sequence shown in the \ bottom plot and any of the original sequences displayed in the top plot." }], "DetailNotes", CellID->1894743796], Cell[TextData[{ "For a new Demonstration, any existing data must first be deleted by \ clicking on the \"clear old\" data button and then clicking the \"generate \ new\" button. The number of sequences, ", Cell[BoxData[ FormBox["n", TraditionalForm]], "InlineMath"], ", and the number of points in each, ", Cell[BoxData[ FormBox["m", TraditionalForm]], "InlineMath"], ", are selected with sliders. A checkbox allows you to choose between \ displaying all the generated sequences together in the top plot or selecting \ for display any individual sequence by its index number, ", Cell[BoxData[ FormBox["i", TraditionalForm]], "InlineMath"], ", using the slider below. " }], "DetailNotes", CellID->2071461656], Cell["References:", "DetailNotes", CellID->51167228], Cell[TextData[{ "D. Ulbricht, M. D. Normand, M. Peleg, and J. Horowitz, \"Assessment of the \ Crumbliness of Individual Fragile Particulates from That of Their Assemblies,\ \" ", StyleBox["Powder Technology", FontSlant->"Italic"], ", ", StyleBox["81", FontWeight->"Bold"], ", 1994 pp. 83\[Dash]91." }], "DetailNotes", CellID->584853340], Cell[TextData[{ "D. Ulbricht, M. D. Normand, and M. Peleg, \"Creating Typical Jagged \ Force-Deformation Relationships from the Irregular and Irreproducible \ Compression Data of Crunchy Foods,\" ", StyleBox["Journal of the Science of Food and Agriculture", FontSlant->"Italic"], ", ", StyleBox["67", FontWeight->"Bold"], ", 1995 pp. 453\[Dash]459." }], "DetailNotes", CellID->114198435], Cell[TextData[{ "D. Robertson. 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