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/111672/6154058
m dscale.m
function [X,Xscale]=dscale(X)
% DSCALE
% ------
% [X,Xscale]=dscale(X) scales data to zero mean and variance 1.
%
% INPUTS:
% X - Data matrix
% (dimension is # o
www.eeworm.com/read/488296/6491654
m features_matrix.m
%This function computes the features matrix
%The features which computed are: variance (energy), skewness,...
function [Xf] = features_matrix (W)
[n,m]=size(W); %dimensions of the features mat
www.eeworm.com/read/478401/6716193
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/407415/11419829
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/123749/14614373
m radio_action_visual.m
function radio_action_visual(index)
%% function radio_action_visual(index) processes visualization options
%%
%% index = 1 Kriging map
%% 2 Kriging variance map
%%
www.eeworm.com/read/334933/3360426
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/334933/3360499
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/334933/3360577
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/301474/3839526
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/301474/3839599
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