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/160929/10469893
m noisepwr2.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num
www.eeworm.com/read/160929/10470305
m !noisepw.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num and
www.eeworm.com/read/463694/7176701
m clust_normalize.m
function data=clust_normalize(data,method);
% method description
% 'var' Variance is normalized to one (linear operation).
% 'range' Values are normalized between [0,1] (linear
www.eeworm.com/read/450618/7480016
m clust_normalize.m
function data=clust_normalize(data,method);
% method description
% 'var' Variance is normalized to one (linear operation).
% 'range' Values are normalized between [0,1] (linear
www.eeworm.com/read/439446/7708539
m noisepwr2.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num and
www.eeworm.com/read/439446/7708617
m noisepwr2.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num
www.eeworm.com/read/439446/7708714
m !noisepw.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num and
www.eeworm.com/read/241192/13164237
m demo2_03.m
%
% "Type 2 Tracker" for random walk process with mean velocity
%
clear all;
close all;
N = 100; % Number of samples of process used in simulations
R = .16; % Variance of sampling no
www.eeworm.com/read/318840/13471252
m demo2_03.m
%
% "Type 2 Tracker" for random walk process with mean velocity
%
clear all;
close all;
N = 100; % Number of samples of process used in simulations
R = .16; % Variance of sampling no
www.eeworm.com/read/314385/13568710
m demo2_03.m
%
% "Type 2 Tracker" for random walk process with mean velocity
%
clear all;
close all;
N = 100; % Number of samples of process used in simulations
R = .16; % Variance of sampling no