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/301474/3839677
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/448886/1683434
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/448886/1683507
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/448886/1683585
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/378914/2679256
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/378914/2679329
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/378914/2679407
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/257015/4366729
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/369171/9660210
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/248284/12585596
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