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/123946/14605535
m fnorm.m
function y=fnorm(w,f,p)
%FNORM Norms of MVFR matrix.
% FNORM(W,F,p) applies NORM(Fm,p) to each component matrix
% Fm of the MVFR matrix, F. The results are returned as
% a column vector of len
www.eeworm.com/read/123946/14605653
m mvpldemo.m
% MVPLDEMO Graphical plots demo for MFD Toolbox.
echo off
% J-M Boyle 20th August 1987
% Copyright (c) 1987,1993 by GEC Engineering Research Centre and
% Cambridge Control Ltd
% Hist
www.eeworm.com/read/123946/14605665
m ftrn.m
function fout=ftrn(w,f)
%FTRN Complex conjugate transpose of MVFR matrix.
% FTRN(W,F) returns an MVFR matrix whose component
% matrices are the complex conjugate transposes
% o
www.eeworm.com/read/123833/14611584
m myhilb.m
function[A,B]=myhilb(n,m)
% MYHILB 生成一个Hilbert矩阵
% [A,B]=myhilb(n,m)
% where
% n,m are size of the Hilbert matrix,if only one
% argument given,then a square matrix is generated
% A is the Hil
www.eeworm.com/read/123833/14611595
m myhilb1.m
function[A,B]=myhilb(n,m)
%问题:生成一个Hilbert矩阵,该矩阵是一个n×m矩阵,它的第i行
%第j列的元素为1/(i+j-1)。如果想在编写的函数中实现下面几点:
%1)如果只给出一个输入参数,则会自动生成一个方阵,即有m=n
%2)如果想返回两个参数A和B,则返回的B矩阵为A矩阵的平方,
% 即B=A'A
%3)在函数中给出合适的帮助信息,包括基本 ...
www.eeworm.com/read/123789/14612535
c lmpar.c
/* lmpar.f -- translated by f2c (version of 17 January 1992 0:17:58).
You must link the resulting object file with the libraries:
-lf77 -li77 -lm -lc (in that order)
*/
#include "f2c.h"
/* Ta
www.eeworm.com/read/223481/14639215
m mpdecode.m
% MpDecode decodes a block code (e.g. LDPC) using the message passing algorithm.
%
% The calling syntax is:
% [output, errors] = MpDecode(input, H_rows, H_cols, [max_iter], [dec_type], [r_scal
www.eeworm.com/read/123143/14645372
m evalfis.m
function [output_stack,IRR,ORR,ARR] = evalfis(input, fis, numofpoints);
% EVALFIS Perform fuzzy inference calculations.
% Synopsis
% output= evalfis(input,fismat)
% output= evalfis(input,
www.eeworm.com/read/223154/14652340
m mvaar.m
function [x,e,Kalman,Q2] = mvaar(y,p,UC,mode,Kalman)
% Multivariate (Vector) adaptive AR estimation base on a multidimensional
% Kalman filer algorithm. A standard VAR model (A0=I) is implemented. T
www.eeworm.com/read/122468/14688184
m myhilb.m
function[A,B]=myhilb(n,m)
% MYHILB 生成一个Hilbert矩阵
% [A,B]=myhilb(n,m)
% where
% n,m are size of the Hilbert matrix,if only one
% argument given,then a square matrix is generated
% A is the Hil