臺灣博碩士論文加值系統

近幾年來由於多通道的適應訊號處理有許多應用，吸引了許多研究人員的注意。例如電訊/視訊會議當中的立體迴音消除、大空間內內(如汽車)噪音的控制等等。而在各種適應演算法中，由於最小平均平方(LMS)演算法的架構簡單，使其成為最廣泛使用的演算法。而多重延遲LMS (MDF)演算法，能夠快速實現LMS，並且能夠克服濾波器係數過長時造成的問題。在本論文中，我們首先對訊號分離、立體迴音消除和主動聲學噪音消除的應用作一介紹，並以MDF演算法為基準，發展出一種多通道適應演算法。

Multichannel signal processing has found many applications recently. Some typical applications are multichannel acoustic echo cancellation in tele/video conferencing system, speech signal separation, and active noise control. Among many adaptive filtering algorithms, the least mean square (LMS) algorithm is most popular due to its simplicity. The multidelay block frequency domain algorithm is an efficient way to implement LMS in frequency domain. In this thesis, we introduce several applications including signal separation, stereophonic acoustic echo cancellation and active noise control. We then develop a multidelay block frequency domain algorithm for multichannel adaptive filters.

中文摘要i
目錄ii
圖目錄iv
表目錄vi
第一章緒論
1.1背景介紹 1
1.2論文組織 2
第二章多通道系統介紹
2.1簡介 3
2.2多通道訊號分離 3
2.3立體聲學迴音消除 7
2.4主動噪音控制 13
第三章多通道多重延遲頻率域適應演算法
3.1簡介 21
3.2單通道多重延遲頻率域適應演算法 21
3.3多通道多重延遲頻率域適應演算法 24
第四章實驗模擬與結果
4.1簡介 28
4.2實驗一：系統鑑別架構 28
4.3實驗二：立體聲學迴音消除 39
第五章結論 55
參考文獻 56

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