From: <jd...@us...> - 2007-10-26 19:55:27
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Revision: 4026 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4026&view=rev Author: jdh2358 Date: 2007-10-26 12:55:21 -0700 (Fri, 26 Oct 2007) Log Message: ----------- updated workbook Modified Paths: -------------- trunk/py4science/workbook/convolution.tex trunk/py4science/workbook/fft_imdenoise.tex trunk/py4science/workbook/main.pdf trunk/py4science/workbook/quad_newton.tex trunk/py4science/workbook/trapezoid.tex Modified: trunk/py4science/workbook/convolution.tex =================================================================== --- trunk/py4science/workbook/convolution.tex 2007-10-26 19:50:21 UTC (rev 4025) +++ trunk/py4science/workbook/convolution.tex 2007-10-26 19:55:21 UTC (rev 4026) @@ -1,3 +1,5 @@ +\section{Convolution} +\label{sec:convolution} \begin{center}% Modified: trunk/py4science/workbook/fft_imdenoise.tex =================================================================== --- trunk/py4science/workbook/fft_imdenoise.tex 2007-10-26 19:50:21 UTC (rev 4025) +++ trunk/py4science/workbook/fft_imdenoise.tex 2007-10-26 19:55:21 UTC (rev 4026) @@ -1,3 +1,6 @@ +\section{FFT Image Denoising} +\label{sec:fft_imdenoise} + Convolution of an input with with a linear filter in the termporal or spatial domain is equivalent to multiplication by the fourier transforms of the input and the filter in the spectral domain. This Modified: trunk/py4science/workbook/main.pdf =================================================================== --- trunk/py4science/workbook/main.pdf 2007-10-26 19:50:21 UTC (rev 4025) +++ trunk/py4science/workbook/main.pdf 2007-10-26 19:55:21 UTC (rev 4026) @@ -90,9 +90,21 @@ (Chapter 6. Signal processing) endobj 65 0 obj -<< /S /GoTo /D [66 0 R /Fit ] >> +<< /S /GoTo /D (section.6.1) >> endobj -68 0 obj << +68 0 obj +(1. Convolution) +endobj +69 0 obj +<< /S /GoTo /D (section.6.2) >> +endobj +72 0 obj +(2. FFT Image Denoising) +endobj +73 0 obj +<< /S /GoTo /D [74 0 R /Fit ] >> +endobj +76 0 obj << /Length 292 /Filter /FlateDecode >> @@ -101,24 +113,24 @@ \xEAT\x89H\x94\xA1\xA4\xA1\x8DJm\xB5\xFCz\xEC\x86VEb\xA8,\xD9:/\xDF\x99\xCAY0\xE0\x95Ҍ\x8C\x81`\x89X\xBB\xAD[e\xEC\xA1\xC2_\x8E\xD5(\x9F\x8BP\xE9\xB0B\xCD\xE4\xB9\xC9MS]M\x8Cch\xC1X\xAFY\xF3δR\xA0\x9D\xAF\x99G\xB5Ɋf\xF9\xC2gâ\xDD\xF5\xED\xE2CH\xE3\x89?\xB5}\x85Q|'\x90\xF7B"\x9F+c\xDBz~\x9B\xB6\xE5\xE6s\xE3J\xBC6SF\xD11\xA9P+:8\xF7q\xB4\x9C}f\x91\xACS<\xD0e |