臺灣博碩士論文加值系統

網路通訊的應用如VoIP需要回聲消除器。這篇論文提出了改良式部份更新正規劃最小均方可適濾波器演算法（ISPNLMS）和ISPNLMS結合模擬退火演算法的SA-ISPNLMS這兩種適合用於網路回聲消除的演算法。SA-ISPNLMS演算法用機率函式決定使用哪種濾波器係更新準則。實驗結果顯示在各種型態輸入訊號下SA-ISPNLMS皆提升了ISPNLMS演算法的收斂速度，收斂速度也比較其他的演算法快。

摘要(i)
Abstract(ii)
目錄(iii)
圖目錄(v)
表目錄(viii)
第一章 緒論(1)
1.1 研究動機(1)
1.2 論文組織(2)
第二章 相關研究與文獻回顧(3)
2.1網路回聲消除器(3)
2.2可適濾波器(4)
2.3聲學回聲及網路回聲差異(6)
2.4可適演算法用於稀疏系統識別(7)
第三章 可適濾波器演算法(9)
3.1 Wiener Filter(9)
3.2最小均方演算法(11)
3.3正規化最小均方演算法(12)
3.4對稱性正規化最小均方演算法(13)
3.5稀疏部分更新正規化最小均方演算法(15)
3.6係數和輸入聯合選擇性部分更新正規化最小均方演算法(19)
3.7區塊式稀疏部分更新正規化最小均方演算法(22)
第四章 針對稀疏回聲識別提出的改良部分更新可適濾波器演算法(24)
4.1改良式稀疏部份更新正規劃最小均方演算法(24)
4.2 ISPNLMS演算法模擬結果(28)
4.3模擬退火結合改良式稀疏部份更新正規劃最小均方演算法(48)
4.4 SA-ISPNLMS演算法模擬結果(53)
第五章 結論與未來研究方向(60)
參考文獻(61)

[1] O. Tanrikulu and K. Dogancay, “Selective-partial-update proportionate normalized least-mean-squares algorithm for network echo cancellation,” in Proc.IEEE Int. Conf. Acoust., Speech, Signal Processing, 2002, pp. 1889 – 1892.

[2] S. Haykin, Adaptive Filter Theory. Prentice Hall, 2002.

[3] D. L. Duttweiler, “Proportionate normalized least-mean-squares adaptation in echo cancellers,” IEEE Trans. Speech Audio Process., vol. 8, no.5, pp. 508–518, Sep. 2000.

[4] S. L. Gay, “An efficient, fast converging adaptive filter for network echo cancellation,” in Proc. Asilomar Conf.Signals, Systems, Comput., Nov.1998, pp. 394–398.

[5] J. Benesty and S. L. Gay, “An improved PNLMS algorithm,” inProc. IEEE Acoustics, Speech, Signal Process., vol. 2, May 2002, pp.1881–1884.

[6] S. Douglass, “Adaptive Filters Employing Partial Update”,IEEE Transaction on Circuits and Systems-II: Analog and Digital Signal Processing, Vol. 44, No.3, Mar 1997, pp 209-216

[7] K. Dogancay and O. Tanrikulu, “Adaptive Filtering Algorithms With Selective Partial Updates”, IEEE Transaction on Circuits and Systems-II: Analog and Digital Signal Processing, Vol. 48, No.8, Aug 2001, pp 762-769

[8] H. Deng and, M. Doroslovacki “New Sparse Adaptive Algorithms Using Partial Update”, in Proc. IEEE Acoustics, Speech, Signal Processing (ICASPP), 2004.

[9] H. Deng and R. Dyba, Efficient Partial Update Algorithm Based on Coefficient Block for Sparse Impulse Response Identification”, conference on information sciences and system, (CISS), 2008

[10] Digital Network Echo Cancellers, International Telecommunication Union (ITU-T) Recommendation G.168, 2006.