代码搜索:Matrices
找到约 3,616 项符合「Matrices」的源代码
代码结果 3,616
www.eeworm.com/read/123946/14605582
m fminimum.m
function [y,i]=fminimum(w,f)
%FMINIMUM Minimum of MVFR matrix
% FMINIMUM(W,F) applies MIN to each component matrix of
% the MVFR matrix, F, and returns one row per frequency.
%
%
www.eeworm.com/read/123946/14605598
m fcnmat.m
function [d,csigma]=fcnmat(w,f)
%FCNMAT Calculates the normalized column dominance scalings.
% FCNMAT(W,F) returns an MVFR matrix of real positive diagonal
% post-multiplier matrices which scale
www.eeworm.com/read/123946/14605628
m genrdemo.m
% GENRDEMO MVFR Generation and Display Demonstration for MFD Toolbox.
echo off
% J.M Boyle 30th August 1987
% Copyright (c) 1987 by GEC Engineering Research Centre & Cambridge Control Ltd
www.eeworm.com/read/123946/14605656
m eyef.m
function y=eyef(w,m,n)
%EYEF Generate identity MVFR matrix
% EYEF(W,n) returns an MVFR matrix made up of n-by-n identity matrices.
%
% EYEF(W,m,n) returns an MVFR matrix made up of m
www.eeworm.com/read/123946/14605693
m fmax.m
function [y,i]=fmax(w,f)
%FMAX Maximum of MVFR matrix
% FMAX(W,F) applies MAX to each component matrix of
% the MVFR matrix, F, and returns one row per frequency.
%
% [Y,I]=FM
www.eeworm.com/read/123946/14605722
m pm2tf.m
function [num,comden]=pm2tf(comden,s0,s1,s2,s3,s4,s5,s6,s7,s8,s9,s10);
%PM2TF Polynomial matrices to transfer function matrix
% PM2TF(Comden,S0,S1,.Si..,S10) returns a single MIMO transfer
%
www.eeworm.com/read/123946/14605726
m fmul.m
function fout=fmul(w,f,c)
%FMUL Multiply MVFR matrix by a matrix.
% FMUL(W,F,C) returns F*C
% FMUL(W,C,F) returns C*F
% where F is the MVFR matrix
% W is the associated
www.eeworm.com/read/216463/15006072
mod2convert-test-out
Creating sparse matrix.
Converting from sparse to dense.
Converting back to dense again.
Testing for equality of two sparse matrices: OK.
Converting to dense once again.
Testing for equality of two d
www.eeworm.com/read/114454/15052870
m arres.m
function [siglev,res]=arres(w,A,v,k)
%ARRES Test of residuals of fitted AR model.
%
% [siglev,res]=ARRES(w,A,v) computes the time series of residuals
%
% res(k,:)' = v(k+p,:)'- w - A1*
www.eeworm.com/read/212047/15167678
todo
* Document Jacobi eigen function, in particular that it only works for
symmetric matrices.