代码搜索:Multivariate Analysis

找到约 10,000 项符合「Multivariate Analysis」的源代码

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m gauss_rnd.m

%GAUSS_RND Multivariate Gaussian random variables % % Syntax: % X = GAUSS_RND(M,S,N) % % In: % M - Dx1 mean of distibution or K values as DxK matrix. % S - DxD covariance matrix % N -
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m gauss_rnd.m

%GAUSS_RND Multivariate Gaussian random variables % % Syntax: % X = GAUSS_RND(M,S,N) % % In: % M - Dx1 mean of distibution or K values as DxK matrix. % S - DxD covariance matrix % N -
www.eeworm.com/read/250980/12372199

m gauss_samples.m

function s = gauss_samples(x,P,n) %function s = gauss_samples(x,P,N) % % INPUTS: % x, P - mean vector and covariance matrix % N - number of samples % % OUTPUT: % s - set of N samples %
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m fft_analysis.m

function [X, Delta] = FFT_Analysis(Input, n) %X = FFT_Analysis(Input, n) % % Compute the auditory spectrum using the Fast Fourier Transform. % The spectrum X is expressed in dB. The size of t
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m prob_analysis.m

% prob_analysis.m % 从t分布中得到随机数据 x=[trnd(20,1,50) trnd(10,1,100)+5]; % 设置混合概率密度函数 pdf_norm_mix=@(x,p,mu1,mu2,sigma1,sigma2) ... p*normpdf(x,mu1,sigma1)+(1-p)*normpdf(x,mu2,sigma2); % 设置参数数值
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asv prob_analysis.asv

% prob_analysis.m % 产生随机数据 x=[trand(20,1,50) trnd(10,3,100)+5]; % 设置混合概率密度函数 pdf_norm_mix=@(x,p,mu1,mu2,sigma1,sigma2) ... p*normpdf(x,mu1,sigma1)+(1-p)*normpdf(x,mu2,sigma2); % 设置参数数值 pSta