代码搜索：Variance

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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
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www.eeworm.com/read/388457/8608043

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
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www.eeworm.com/read/387887/8649480

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
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www.eeworm.com/read/430888/8719861

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
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www.eeworm.com/read/186987/8886155

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
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www.eeworm.com/read/374010/9423747

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
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www.eeworm.com/read/167785/9952739

mlab wavecov.mlab

%% This document contains an example time series analysis where the %% wavelet variance, correlation, and cross-correlation are computed. %% Methods presented here come from Whitcher (1998), "Assessin
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www.eeworm.com/read/162729/10278922

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
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www.eeworm.com/read/162179/10328944

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
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www.eeworm.com/read/160929/10469531

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
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