博碩士論文 103522040 詳細資訊




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姓名 陳晏誼(Yen-Yi Chen)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 基於適應性濾波器之聲學回音消除
(Acoustic Echo Cancellation Using Adaptive Filter)
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摘要(中) 由於日常生活中有許多應用會使用到聲學回音消除(Acoustic Echo Cancellation, AEC)的技術,因此本論文欲提出一聲學回音消除之系統,將此系統建構在一線性適應性濾波器(Adaptive Filter)之上。近年來有許多學者提出適應性濾波器之各種改良方式,包含比例式正規化最小均方(Proportionate NLMS, PNLMS)、改進的比例式正規化最小均方(Improved PNLMS, IPNLMS),可變步長(Variable Step Size, VSS)以及頻域(Frequency Domain)形式的適應性濾波器。因此本論文主張將以上方法結合成單一系統,重新推導方程式並且將之應用在聲學回音消除中。從實驗結果中可以發現,本論文所提出之方法有效於估測環境中之回音路徑(Echo Path),除了有較佳的收斂結果外,還有更少的執行時間。
摘要(英) Due to the acoustic echo cancellation(AEC) technology using in our daily life, this thesis wants to propose a system of AEC, which is based on a linear adaptive filter. In recent years, many scholars have proposed various ways to improve the adaptive filter, such as proportionate normalized least mean square(PNLMS), improved proportionate normalized least mean square(IPNLMS), variable step size(VSS) and frequency domain adaptive filter(FDAF). Therefore, this thesis combine the above method into a single system, and derive the formula to implement the AEC. The experiment results show that the method proposed in this thesis is effective in estimating the echo path, and there is less execute time besides the better convergence result.
關鍵字(中) ★ 聲學回音消除
★ 適應性濾波器
★ 正規化最小均方
★ 可變步長
關鍵字(英) ★ Acoustic Echo Cancellation
★ Adaptive Filter
★ Normalized Least Mean Square
★ Variable Step-Size
論文目次 中文摘要 i
英文摘要 ii
誌謝 iii
章節目次 iv
圖目錄 vi
符號說明 vii
第一章 緒論 1
1-1 前言 1
1-2 研究動機與目的 2
1-3 章節架構簡述 2
第二章 相關文獻與文獻探討 4
2-1 線性適應性濾波器 4
2-1-1 最小均方 4
2-1-2 遞迴最小平方 5
2-1-3 仿射投影演算法 6
2-2 非線性適應性濾波器 6
第三章 線性適應性濾波器之聲學回音消除 8
3-1 最小均方 9
3-2 正規化最小均方 10
3-3 比例式正規化最小均方 11
3-4 改進的比例式正規化最小均方 13
3-5 頻域適應性濾波器 14
第四章 可變步長 19
4-1 可變步長之正規化最小均方 19
4-2 可變步長之比例式正規化最小均方 21
4-3 可變步長之改進的比例式正規化最小均方 21
第五章 聲學回音消除系統 23
5-1 系統架構概述 23
5-2 適應性濾波器 23
5-3 可變步長 24
第六章 實驗結果 25
6-1 實驗設置 25
6-2 聲學回音消除之效能比較 26
第七章 結論與未來研究方向 28
參考文獻 29
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[23] Open Air Library: http://www.openairlib.net, available on 2017/7/10.
指導教授 王家慶(Jia-Ching Wang) 審核日期 2017-8-23
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