Filter theory projects and source code

Least mean square for system identification in matlab

The following Matlab project contains the source code and Matlab examples used for least mean square for system identification. Least mean squares (LMS) algorithms are a class of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the actual signal).

Generate coefficients for 1d savitzky golay smoothing filters in matlab

The following Matlab project contains the source code and Matlab examples used for generate coefficients for 1d savitzky golay smoothing filters. INPUT: order = order of the polynomial interval = the window size; *MUST* smaller than size(vIN) OUTPUT: c(ss,nn)= a matrix Rows corresponds to coefficients for the target point, g_t, at different location of the window (up >> down: g_t moves from left to right).

Two dimensional trilateral filter in matlab

The following Matlab project contains the source code and Matlab examples used for two dimensional trilateral filter. TRILATERALFILTER Two-dimensional trilateral filter. outputImage = trilateralFilter(inputImage,sigmaC,epsilon) filters the data in inputImage with the 2-D trilateral filter by P. Choudhury and J. Tumblin, http://www.cs.northwestern.edu/~jet/publications.html This implementation is a conversion of the OpenCV implementation by Tobi Vaudrey

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