代码搜索：Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/212384/15156770
m localnormalize.m
function ln=localnormalize(IM,sigma1,sigma2)
%LOCALNORMALIZE A local normalization algorithm that uniformizes the local
%mean and variance of an image.
% ln=localnormalize(IM,sigma1,sigma2) output
www.eeworm.com/read/344585/3207970
m fastmvu.m
function mappedX = fastmvu(X, no_dims, k, eig_impl);
%FAST_MVU Runs the Fast Maximum Variance Unfolding algorithm
%
% [mappedX, details] = fastmvu(X, no_dims, k)
%
% Computes a low dimensional embed
www.eeworm.com/read/303435/3811309
lib frannor.cwp.lib
FRANNOR - functions to generate a pseudo-random float normally distributed
with N(0,1); i.e., with zero mean and unit variance.
frannor return a normally distributed random float
srannor seed ran
www.eeworm.com/read/294145/3919661
readme
block_complex
-------------
This module gives a general 2x2 MIMO block with definable
channel-matrix h and noise-variance sigma.
Additionally to the size, a precision in bits can be given,
too. This
www.eeworm.com/read/291165/3969580
readme
block_complex
-------------
This module gives a general 2x2 MIMO block with definable
channel-matrix h and noise-variance sigma.
Additionally to the size, a precision in bits can be given,
too. This
www.eeworm.com/read/273525/4207492
hlp mf_corr.hlp
{smcl}
{* 28mar2005}{...}
{cmd:help mata corr()}
{hline}
{* index corr()}{...}
{* index correlation}{...}
{title:Title}
{p 4 4 2}
{bf:[M-5] corr() -- Make correlation matrix from variance
www.eeworm.com/read/203890/15349836
m mvdr.m
function [an,e] = mvdr(x,m,varargin)
% MVDR Minimum Variance Distortionless Response model
% A = MVDR(X,P) finds the coefficients, A=[ 1 A(2) ... A(P+1) ],
% of an Nth order MVDR all-pole model filter
www.eeworm.com/read/202785/15373409
m da_pcavr.m
%
% da_pcavr
%
% Plots the variance of the individual prinipal
% components
%
w1=gcf;
da_front;
da_pcapb;
set(w1,'NumberTitle','off','Name','Principal Component Analysis');
drawnow;
fig
www.eeworm.com/read/201337/15410125
txt mvdr2.txt
function [Pmv,theta]=MVDR(x,f0,d,Nbeam,DL)
% minimum variance distortionless response
% x: the signal received by the array
% d: distance of interelement.
% Nbeam: 波束数 DL: diagonal loading
% rev
www.eeworm.com/read/108859/15573928
m matched.m
function matched(L, D, S)
%MATCHED Matched filter response using a pulse signal.
% MATCHED(L, D, S)
% L=number of samples D= delay of received pulse (in samples).
% S^2= variance of added Gaussi