代码搜索：Bayesian

找到约 1,632 项符合「Bayesian」的源代码

代码结果 1,632
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www.eeworm.com/read/472943/1402589

m gendatafig08b_optimized.m

%------------------------------------------------------------------ % This code generates Figure 8b (Optimized) of the following paper: % "Bayesian Compressive Sensing" (Preprint, 2007). % The ima
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www.eeworm.com/read/472943/1402590

m gendatafig04ab_random.m

%------------------------------------------------------------------- % This code generates Figure 4ab (Random) of the following paper: % "Bayesian Compressive Sensing" (Preprint, 2007). % The data
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www.eeworm.com/read/472943/1402591

m gendatafig04ab_optimized.m

%------------------------------------------------------------------- % This code generates Figure 4ab (Optimized) of the following paper: % "Bayesian Compressive Sensing" (Preprint, 2007). % The d
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www.eeworm.com/read/472943/1402592

m gendatafig04cd_random.m

%------------------------------------------------------------------- % This code generates Figure 4cd (Random) of the following paper: % "Bayesian Compressive Sensing" (Preprint, 2007). % The data
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www.eeworm.com/read/415220/11080121

m fig4_ab.m

%------------------------------------------------------ % This code generates Figures 4(a,b) of the following paper: % "Bayesian Compressive Sensing" (Preprint, 2007) % This example is modified fr
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www.eeworm.com/read/281447/9155247

m vssminpn.m

%| Variational Bayesian State-Space models | %| | %| Copyright Matthew J. Beal 22/05/01 version 3
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www.eeworm.com/read/449504/7502059

m becm_d.m

% PURPOSE: demonstrate the use of becm % function to estimate a Bayesian % error correction model using Minnesota prior % --------------------------------------------- % usage: becm_
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www.eeworm.com/read/449504/7502858

m mess_g1d.m

% PURPOSE: An example of using mess_g1() on a small data set % Bayesian matrix exponential spatial model %--------------------------------------------------- % US
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www.eeworm.com/read/449504/7502873

m mess_g1d2.m

% PURPOSE: An example of using mess_g1() on a large data set % Bayesian matrix exponential spatial model %--------------------------------------------------- % US
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www.eeworm.com/read/472943/1402571

m bcsfigure04d.m

%-------------------------------------------------------------- % This code generates Figure 4d of the following paper: % "Bayesian Compressive Sensing" (Preprint, 2007). % The dataset used is sim
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