代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/312719/13605946
m createdistmat.m
function distMat = createDistMat (proj, metric)
%
% PROTOTYPE
% function distMat = createDistMat (proj, metric)
%
% USAGE EXAMPLE(S)
% pcaDistMatCos = createDistMat(pcaProj, 'COS');
%
% GENER
www.eeworm.com/read/312152/13617841
c rscencoder.c
/* MATLAB's C-MEX turbo code RSC encoder
*
* Copyright Bagawan S. Nugroho, 2006
*********************************************/
# include "mex.h"
# include
void rscEncoder( dou
www.eeworm.com/read/312016/13620197
m dequant.m
% NAME
% dequant - unapply quantizing matrix
%
% SYNOPSIS
% dequant
% dequant(X)
% dequant(X, Q)
%
% DESCRIPTION
% dequant cuts an mxn matrix X into NxN matrices and dequantizes
% using the mat
www.eeworm.com/read/311921/13622527
m hash.m
function y = hash(u);
% It generates the digest from a matrix u;
u=double(u);
y=md5(u);
www.eeworm.com/read/311447/13630883
m nssfbdec.m
function [y1, y2] = nssfbdec( x, f1, f2, mup )
% NSSFBDEC Two-channel nonsubsampled filter bank decomposition with periodic extension.周期延长的双通道nonsubsampled滤波器分解
% NSSFBDEC convolve the image X by
www.eeworm.com/read/311447/13630895
m nssfbrec.m
function y = nssfbrec( x1, x2, f1, f2, mup )
% NSSFBREC Two-channel nonsubsampled filter bank reconstruction with periodic extension.
% NSSFBREC reconstructs the image Y by a two-channel nonsubsam
www.eeworm.com/read/310735/13644823
m lsvmk.m
function [iter, optCond, time, u] = ...
lsvmk(KM,D,nu,tol,maxIter,alpha);
% LSVMK Langrangian Support Vector Machine algorithm
% LSVMK solves a support vector machine problem using an iterati
www.eeworm.com/read/310212/13654568
m pmem.m
function varargout = pmem( xR, p, nfft, Fs, flag )
%PMEM Power Spectrum estimate via MEM (Maximum Entropy Method).
% Pxx = PMEM(X,ORDER,NFFT) is the Power Spectral Density estimate of signal
%
www.eeworm.com/read/310212/13654613
m latcfilt.m
function [f,g] = latcfilt(k,v,x)
%LATCFILT Lattice and lattice-ladder filter implementation.
% [F,G] = LATCFILT(K,X) filters X with the FIR lattice coefficients
% in vector K. F is the forward
www.eeworm.com/read/310212/13654676
m pyulear.m
function varargout = pyulear( xR, p, nfft, Fs, flag )
%PYULEAR Power Spectrum estimate via Yule-Walker AR method.
% Pxx = PYULEAR(X,ORDER,NFFT) is the Power Spectral Density estimate of
% sig