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一個有效率的隨機匹配追蹤演算法及其應用 = An Efficient S...

國立高雄大學統計學研究所

一個有效率的隨機匹配追蹤演算法及其應用 = An Efficient Stochastic Matching Pursuit Algorithm and its Applications

Record Type:	Language materials, printed : monographic
Paralel Title:	An Efficient Stochastic Matching Pursuit Algorithm and its Applications
Author:	蔡雨潔,
Secondary Intellectual Responsibility:	國立高雄大學
Place of Publication:	[高雄市]
Published:	撰者;
Year of Publication:	民99[2010]
Description:	27面圖，表 : 30公分;
Subject:	吉布斯抽樣
Subject:	Gibbs sampler
Online resource:	http://handle.ncl.edu.tw/11296/ndltd/00431189126162056804
Summary:	隨機匹配追蹤演算法在貝氏變數選取中有很好的效能。在這篇論文中，首先我們提出一個隨機匹配追蹤演算法的完全貝氏版本，接著介紹一個針對此演算法更有效率的計算方法。然後我們將此隨機匹配追蹤演算法應用在聲音去噪的問題上，利用一些模擬和實際的聲音例子來驗證此演算法的效能。 The stochastic matching pursuit algorithm, proposed by Chen et al. (2009), performs well in Bayesian variable selection. In this thesis, the full Bayesian version of the stochastic matching pursuit algorithm is first proposed and then an efficient computing approach of this algorithm is introduced. Next we focus on applying the stochastic matching pursuit algorithm in the denoising problem. Several simulations and real sound examples are used to demonstrate the performance of the algorithm.

一個有效率的隨機匹配追蹤演算法及其應用 = An Efficient Stochastic Matching Pursuit Algorithm and its Applications
蔡, 雨潔

一個有效率的隨機匹配追蹤演算法及其應用 = An Efficient Stochastic Matching Pursuit Algorithm and its Applications / 蔡雨潔撰 - [高雄市] : 撰者, 民99[2010]. - 27面 ; 圖，表 ; 30公分.
參考書目：面.
吉布斯抽樣Gibbs sampler

一個有效率的隨機匹配追蹤演算法及其應用 = An Efficient Stochastic Matching Pursuit Algorithm and its Applications
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330 $a 隨機匹配追蹤演算法在貝氏變數選取中有很好的效能。在這篇論文中，首先我們提出一個隨機匹配追蹤演算法的完全貝氏版本，接著介紹一個針對此演算法更有效率的計算方法。然後我們將此隨機匹配追蹤演算法應用在聲音去噪的問題上，利用一些模擬和實際的聲音例子來驗證此演算法的效能。 The stochastic matching pursuit algorithm, proposed by Chen et al. (2009), performs well in Bayesian variable selection. In this thesis, the full Bayesian version of the stochastic matching pursuit algorithm is first proposed and then an efficient computing approach of this algorithm is introduced. Next we focus on applying the stochastic matching pursuit algorithm in the denoising problem. Several simulations and real sound examples are used to demonstrate the performance of the algorithm.
510 1 $a An Efficient Stochastic Matching Pursuit Algorithm and its Applications
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