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/375337/9363650
m aaaveragenoiselms.m
function[w,J]=aaaveragenoiselms(a,b,mu,M,N,I)
%noise reduction lms filter with sine function as desired signal;
%function[w,J]=aaaveragelms(a,b,mu,M,N,I);a=controls the noise variance;
%b=control
www.eeworm.com/read/365862/9842920
m gmm_marginal.m
function g = gmm_marginal(g, idx)
% Marginal is obtained by simply extracting the mean and variance of the
% required components.
g.x = g.x(idx, :);
g.P = g.P(idx,idx,:);
www.eeworm.com/read/351998/10588915
m gmm_marginal.m
function g = gmm_marginal(g, idx)
% Marginal is obtained by simply extracting the mean and variance of the
% required components.
g.x = g.x(idx, :);
g.P = g.P(idx,idx,:);
www.eeworm.com/read/489598/6466418
m pfilter.m
function [wP,xP] = Pfilter(wP,xP,snr,rx,G);
%This is the filtering routine
global Npart nTx nRx
Nv = nTx*10^(-snr/10);%Get noise variance
con = sqrt(2*pi*Nv); %constant for scaling
for r =
www.eeworm.com/read/261324/11654809
m aaaveragenoiselms.m
function[w,J]=aaaveragenoiselms(a,b,mu,M,N,I)
%noise reduction lms filter with sine function as desired signal;
%function[w,J]=aaaveragelms(a,b,mu,M,N,I);a=controls the noise variance;
%b=control
www.eeworm.com/read/225106/14555825
m scrambler.m
function [dataout,P127seq]=scrambler(datain)
% datain: input data sequence
% datamid :a middle variance which keep the
% X(7) xor X(4)
% dataout1:keep the output
% dataout: outout data sequence
www.eeworm.com/read/225106/14555832
asv scrambler.asv
%function [dataout,P127seq]=scrambler(datain)
% datain: input data sequence
% datamid :a middle variance which keep the
% X(7) xor X(4)
% dataout1:keep the output
% dataout: outout data sequence
www.eeworm.com/read/221410/14741757
m aaaveragenoiselms.m
function[w,J]=aaaveragenoiselms(a,b,mu,M,N,I)
%noise reduction lms filter with sine function as desired signal;
%function[w,J]=aaaveragelms(a,b,mu,M,N,I);a=controls the noise variance;
%b=control
www.eeworm.com/read/479351/1333276
m mmse_mse_calc.m
%Function Declaration:
function ms_error=MMSE_MSE_calc(X,H,Y,Rgg,variance);
%This function generates mean squared error for the the MMSE estimator..
%EVALUATION OF Hmmse
%Hmmse=F*Rgg*inv(Rgy)*Y;
www.eeworm.com/read/362216/2936154
m plot_modwt_clcwsvar.m
function plot_modwt_clcwsvar(clcwsvar, title_str, xaxis, xlabel_str)
% plot_modwt_clcwsvar -- Plot the cumulative level of cumulative sample variance of MODWT wavelet coefficients.
%
%****f* wmtsa.dwt