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/142092/12963042
m desa.m
function [W,A]=desa(x, dt)
% The function DESA calculates frequency and amplitude using Teager Energy Operator
% for the data x(n,m), where n is the number of points, and m is
% the number of
www.eeworm.com/read/142092/12963155
m respsp.m
function ra=respsp(x1,x2)
% The function RESPSP computes the Hilbert response function
% from one input, x2, and one output, x1, both are Hilbert spectra
% of the same dimensions.
% The basic
www.eeworm.com/read/142092/12963159
m cnstm.m
function z=cnstm(p,nf1,nf2,nn)
%
% z=cnstm(p,nf1,nf2,nn):
%
% Function to construct a matrix of constant horizontal value.
%
% Input-
% p - vector p(nf2), representing the power spectrum
% nf1
www.eeworm.com/read/142092/12963416
m nfame.m
function [nf, na, ex, E, N] = nfame(data,dt)
%
% [nf,na,ex,E,N]=nfame(data,dt) :
%
% Function to calculate the modified Hilbert frequency and amplitude
% of data(n,k), where n specifies
www.eeworm.com/read/243093/12964846
m sqrtsim2dis.m
function D=sqrtsim2dis(S)
%function D=sqrtsim2dis(S);
%
%PURPOSE
%
%To transform elements of a similarity matrix S into
%dissimilarities D by D=sqrt(1-S)
%
%INPUT
%
%S (matrix) MxM similarity matrix w
www.eeworm.com/read/243093/12964863
m redscale.m
function map=redscale(N,B)
%function map=redscale(N,B)
%
%PURPOSE
%
%Makes a colormap of shades of red from white to red.
%
%INPUT
%
%[An argument in brackets is optional. If it isn't given or it's
%
www.eeworm.com/read/243093/12964889
m sim2dis.m
function D=sim2dis(S)
%function D=sim2dis(S);
%
%PURPOSE
%
%To transform elements of a similarity matrix S into
%dissimilarities D by D=1-S.
%
%INPUT
%
%S (matrix) MxM similarity matrix whose element
www.eeworm.com/read/243093/12964931
m centrotype.m
function i=centrotype(S)
%function i=centrotype(S)
%
%PURPOSE
%
%To compute the centrotype of objects whose relations are
%defined by similarity matrix S. Centrotype means the object that
%is most sim
www.eeworm.com/read/243093/12964939
m mmds.m
function [X,s,U,V]=mmds(D)
%
%function [X,s,U,V]=mmds(D)
%
%PURPOSE
%
%To compute principal coordinates (linear Metric Multi-Dimensional Scaling)
%
%INPUTS
%
% D (matrix) NxN matrix of dissimilaritie
www.eeworm.com/read/243093/12964982
m corrw.m
function R=corrw(W,D)
%function R=corrw(W,D)
%
%PURPOSE
%
%To compute mutual linear correlation coefficients between M
%independent component estimates using the demixing matrix W and
%the dewhitening