代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
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www.eeworm.com/read/333209/7154824
m kf_loop.m
%KF_LOOP Performs the prediction and update steps of the Kalman filter
% for a set of measurements.
%
% Syntax:
% [MM,PP] = KF_LOOP(X,P,H,R,Y,A,Q)
%
% In:
% X - Nx1 initial estimate f
www.eeworm.com/read/333209/7154833
m etf_smooth1.m
%ETF_SMOOTH1 Smoother based on two extended Kalman filters
%
% Syntax:
% [M,P] = ETF_SMOOTH1(M,P,Y,A,Q,ia,W,aparam,H,R,h,V,hparam,same_p_a,same_p_h)
%
% In:
% M - NxK matrix of K mean estimates f
www.eeworm.com/read/333209/7154842
m schol.m
%SCHOL Cholesky factorization for positive semidefinite matrices
%
% Syntax:
% [L,def] = schol(A)
%
% In:
% A - Symmetric pos.semi.def matrix to be factorized
%
% Out:
% L - Lower triangular
www.eeworm.com/read/463748/7176123
m ss_tbl31.m
Gold sequences for the table of problem 3.1 of Spread Spectrum Chapter
Note that the sequences are the columns of the below matrix not the rows,
so we have to take the transpose of the following m
www.eeworm.com/read/463300/7183861
inl linearequation.inl
//LinearEquation.inl 线性方程(组)求解函数(方法)定义
// Ver 1.0.0.0
// 版权所有(C) 何渝, 2002
// 最后修改: 2002.5.31
#ifndef _LINEAREQUATION_INL
#define _LINEAREQUATION_INL
//全选主元高斯消去法
//函数第一个参数是输入矩阵，第二个是向量b
//第
www.eeworm.com/read/463005/7190735
txt ce150_readme.txt
Readme File for Code Example:
CE150 - JPEG Entropy Coding
----------------------------------------
This file contains the following sections:
1. Code Exa
www.eeworm.com/read/462702/7197732
m sima1.m
function [nw,a1,i] = sima1(w,p,lr,rho,pf)
%SIMA1 ART1 simulation function.
% Each input vector is presented to the network one at a time.
% (See COMPET, HARDLIM)
%
% [NW,A1,
www.eeworm.com/read/462323/7202785
m ss_tbl31.m
Gold sequences for the table of problem 3.1 of Spread Spectrum Chapter
Note that the sequences are the columns of the below matrix not the rows,
so we have to take the transpose of the following m
www.eeworm.com/read/461382/7228290
h interleaver.h
/* File interleaver.h
Description: Functions used to create the UMTS/3GPP and CCSDS interleavers.
Copyright (C) 2005-2006, Matthew C. Valenti
Last updated on June 24, 2006
F
www.eeworm.com/read/461381/7228404
m classif.m
function classification = classif(Ytrain, Ytest)
% classification = classify(Ytrain, Ytest)
%
% Given the train matrix Ytrain and the test matrix Ytest,
% this function returs a vector classificat