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/117859/14901981
m noisecu.m
function noise=noisecu(N);
%NOISECU Analytic complex uniform white noise.
% NOISE=NOISECU(N) computes an analytic complex white uniform
% noise of length N with mean 0.0 and variance 1.0.
%
% Exampl
www.eeworm.com/read/215709/15051679
m noisecu.m
function noise=noisecu(N);
%NOISECU Analytic complex uniform white noise.
% NOISE=NOISECU(N) computes an analytic complex white uniform
% noise of length N with mean 0.0 and variance 1.0.
%
% Exampl
www.eeworm.com/read/362216/2936191
m plot_wvar.m
function [haxes] = plot_wvar(wvar, CI_wvar, title_str, ylabel_str, LineSpec, ...
axesProp, level_range, plotOpts)
% plot_wvar - Plot the wavelet variance and confiden
www.eeworm.com/read/475710/6775980
m noisecu.m
function noise=noisecu(N);
%NOISECU Analytic complex uniform white noise.
% NOISE=NOISECU(N) computes an analytic complex white uniform
% noise of length N with mean 0.0 and variance 1.0.
%
% Exampl
www.eeworm.com/read/194516/8191439
m noisecu.m
function noise=noisecu(N);
%NOISECU Analytic complex uniform white noise.
% NOISE=NOISECU(N) computes an analytic complex white uniform
% noise of length N with mean 0.0 and variance 1.0.
%
% Exampl
www.eeworm.com/read/294870/8196600
m noisecu.m
function noise=noisecu(N);
%NOISECU Analytic complex uniform white noise.
% NOISE=NOISECU(N) computes an analytic complex white uniform
% noise of length N with mean 0.0 and variance 1.0.
%
% Exampl
www.eeworm.com/read/294870/8196833
m noisecu.m
function noise=noisecu(N);
%NOISECU Analytic complex uniform white noise.
% NOISE=NOISECU(N) computes an analytic complex white uniform
% noise of length N with mean 0.0 and variance 1.0.
%
% Exampl
www.eeworm.com/read/173453/9657300
m decoding.m
No=variance;
% assume the codeword c, the parity check matrix H and No are already loaded into the MATLAB memory
tx_waveform=bpsk(u,1); %amp= 1
rx_waveform=awgn(tx_waveform,No);
sc
www.eeworm.com/read/173047/9677564
m randrice.m
function a=randrice(Ak,sigma,N)
% function a=randrice(Ak,sigma,N)
%
% This function creates a Ricean distributed random variable with mean
% value Ak and variance sigma. A set of Nx1 values is co
www.eeworm.com/read/268251/11148471
m decoding.m
No=variance;
% assume the codeword c, the parity check matrix H and No are already loaded into the MATLAB memory
tx_waveform=bpsk(u,1); %amp= 1
rx_waveform=awgn(tx_waveform,No);
sc