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m dist2.m

function n2 = dist2(x, c) %DIST2 Calculates squared distance between two sets of points. % % Description % D = DIST2(X, C) takes two matrices of vectors and calculates the % squared Euclidean distance
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www.eeworm.com/read/414799/11101306

m plotgaborfilters.m

% PLOTGABORFILTERS - Plots log-Gabor filters % % The purpose of this code is to see what effect the various parameter % settings have on the formation of a log-Gabor filter bank. % % Usage: [Ffilter,
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www.eeworm.com/read/413912/11137170

m dist2.m

function n2 = dist2(x, c) %DIST2 Calculates squared distance between two sets of points. % % Description % D = DIST2(X, C) takes two matrices of vectors and calculates the % squared Euclidean distance
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www.eeworm.com/read/265723/11255433

m nchoosek.m

function c = nchoosek(v,k) %NCHOOSEK Binomial coefficient or all combinations. % NCHOOSEK(N,K) where N and K are non-negative integers returns N!/K!(N-K)!. % This is the number of combinations
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www.eeworm.com/read/265447/11264164

html dep-h.html

Linear Dependence in Parity Check Matrices Linear Dependence in Parity Check Matrices If a code is specified by means of a M by
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www.eeworm.com/read/248729/12544086

m dist2.m

function n2 = dist2(x, c) %DIST2 Calculates squared distance between two sets of points. % % Description % D = DIST2(X, C) takes two matrices of vectors and calculates the % squared Euclidean distance
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www.eeworm.com/read/235612/14060644

m auto2.m

function a = auto2(v,flag) % a=auto2(v,flag) % a=auto2(v) % % auto computes the two sided autocorrelation of % the vector 'v'. The 'zeroth lag' is at length(v)-1. This % routine will correctly hand
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www.eeworm.com/read/202818/15372073

m runica.m

%Assumes image gravalues are in rows of x. Note x gets overwritten. %Will find N independent components, where N is the number of images. %There must be at least 5 times as many examples (cols of
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www.eeworm.com/read/200131/15440156

m exm030131_1.m

clear S=['This string array ' 'has multiple rows.'] size(S)
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www.eeworm.com/read/108859/15573822

m fftmn.m

function y =fftmn(x,R,C) %FFTMN FFT of a data set from fft of its smaller subsets % y=fftmn(x,R,C) FFT of x using fft of R rows and C columns % Length(x) must equal RC % % If no input arguments
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