代码搜索:decomposition

找到约 1,689 项符合「decomposition」的源代码

代码结果 1,689
www.eeworm.com/read/241049/13175453

cpp chodcm.cpp

void chodcm(double a[], int n, double d[], double t[]) { int i,j,k; double sum; for (i = 1; i
www.eeworm.com/read/139007/13195409

m poldec.m

function [U, H] = poldec(A) %POLDEC Polar decomposition. % [U, H] = POLDEC(A) computes a matrix U of the same dimension % (m-by-n) as A, and a Hermitian positive semi-definite mat
www.eeworm.com/read/138860/13207120

m pprec.m

function x = pprec(p0, p1, type) % PPREC Parallelogram Polyphase Reconstruction % % x = pprec(p0, p1, type) % % Input: % p0, p1: two parallelogram polyphase components of the image % type: o
www.eeworm.com/read/138860/13207184

m backsamp.m

function y = backsamp(y) % BACKSAMP Backsampling the subband images of the directional filter bank % % y = backsamp(y) % % Input and output are cell vector of dyadic length % % This functi
www.eeworm.com/read/324303/13273743

m afe.m

function [features,eigvec,eigvals] = AFE(Xs,kernel, kernel_pars,X,type,nb,eigvec,eigvals) % Automatic Feature Extraction by Nystr鰉 method % % % >> features = AFE(X, kernel, sig2, Xt) % % Description %
www.eeworm.com/read/239206/13294591

cpp chodcm.cpp

void chodcm(double a[], int n, double d[], double t[]) { int i,j,k; double sum; for (i = 1; i
www.eeworm.com/read/136754/13362519

m bianal3.m

function biodd = bianal3(data,lpf,hpf) %bianal3(data,lpf,hpf) effects a one level decomposition of %of the input signal, data, using the biorthogonal filter bank %defined by filters lpf and hpf. T
www.eeworm.com/read/136754/13362553

m wpanal.m

function [an,tree1] = wpanal(seq,fopt,tree) %Routine for 1-D wavelet packet decomposition. % %[an,tree1]= wpanal(seq, lpf, tree) computes a wavelet packet decomposition %of the input sequence, seq
www.eeworm.com/read/320160/13431909

m io.m

function ort = io(x,imf) % ort = IO(x,imf) computes the index of orthogonality % % inputs : - x : analyzed signal % - imf : empirical mode decomposition lx = size(imf,2); n = size(imf,1
www.eeworm.com/read/320160/13431912

m io.m

function ort = io(x,imf) % ort = IO(x,imf) computes the index of orthogonality % % inputs : - x : analyzed signal % - imf : empirical mode decomposition lx = size(imf,2); n = size(imf,1