代码搜索：sparse
找到约 3,324 项符合「sparse」的源代码
代码结果 3,324
www.eeworm.com/read/449504/7503077
m f2_sar.m
function llike = f2_sar(parm,y,x,W,detval)
% PURPOSE: evaluates log-likelihood -- given ML estimates
% spatial autoregressive model using sparse matrix algorithms
% -------------------------------
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m fgmca.m
function [piA,S] = fgmca(X,NbSources,nmax,Kmin)
% Sped-Up GMCA
%
% INPUT - X : the sparse data - channels * samples
% NbSources : number of sources to estimate
% nmax : number of iterations (ty
www.eeworm.com/read/146126/12668776
h sparsematrix.h
// sparse matrix using an extended array list
#ifndef sparseMatrix_
#define sparseMatrix_
#include
#include "matrixTerm.h"
#include "extendedArrayList.h"
#include "myExceptions.h"
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m nonlin_gg.m
function [s, err_cost, iter_time]=nonlin_gg(x,F,C,m,varargin)
% nonlin_gg: Nonlinear sparse approximation by greedy gradient search.
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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m function_format.m
function function_format
% Help file to explain how to create function files that calculate a
% linear operator and its transpose.
%
% You need two functions, one from the sparse domain to the observa
www.eeworm.com/read/261520/11639362
cpp demo8_12_16b.cpp
// DEMO8_12_16b.CPP - Sparse universe scrolling demo
// 16-bit version
// INCLUDES ///////////////////////////////////////////////
#define WIN32_LEAN_AND_MEAN
// you must #define INITGUID
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h sparsematrix.h
// sparse matrix using an extended array list
#ifndef sparseMatrix_
#define sparseMatrix_
#include
#include "matrixTerm.h"
#include "extendedArrayList.h"
#include "myExceptions.h"
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cpp demo8_12_16b.cpp
// DEMO8_12_16b.CPP - Sparse universe scrolling demo
// 16-bit version
// INCLUDES ///////////////////////////////////////////////
#define WIN32_LEAN_AND_MEAN
// you must #define INITGUID
www.eeworm.com/read/472943/1402615
m msnvenofig2.m
% Figure 2: Phase transition diagram when the sparse model is recovered using the
% LASSO Algorithm, where the number of variables p=200. The theoretical phase
% transition curve from Figure 1 has
www.eeworm.com/read/232874/4696009
m makevector.m
function x = MakeVector(k, p, type)
% MakeVector: creates various types of sparse test vectors
% Usage
% x = MakeVector(k, p, type)
% Input
% k sparsity level
% p vector leng