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Volume 21 Issue 2
Mar.  1999
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Wang Yongde, He Peiyu, Zhao Gang. A NEW WAVELET TRANSFORM BASED SCHEME FOR ADAPTIVE FILTERING[J]. Journal of Electronics & Information Technology, 1999, 21(2): 212-218.
Citation: Wang Yongde, He Peiyu, Zhao Gang. A NEW WAVELET TRANSFORM BASED SCHEME FOR ADAPTIVE FILTERING[J]. Journal of Electronics & Information Technology, 1999, 21(2): 212-218.

A NEW WAVELET TRANSFORM BASED SCHEME FOR ADAPTIVE FILTERING

  • Received Date: 1997-06-28
  • Rev Recd Date: 1998-07-11
  • Publish Date: 1999-03-19
  • Based on the scale function representation for a function in L2(R), a new wavelet transform based adaptive system identification scheme used for acoustic echo cancellation is proposed. It can reduce the amount of computation by exploiting the decimation and keep the advantage of quasi-othogonal transform with the discrete wavelet transform(DWT). The issue has been supported by computer simulations.
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  • Doroslovacki M, et al. Wavelet-based adaptive filtering. Proceedings of International Conference[2]on Acoustic, Speech and Signal Processing. Vo1.3, Minneapolis, MN, USA: 1993, 488-491.[3]Doroslovacki M, et al. Wavelet-based linear system modeling and adaptive filtering. IEEE Trans. on SP, 1996, SP-44(5): 1156-1167.[4]Vetterli M, et al. Wavelet and filter banks: Theory and design. IEEE Trans. on SP, 1992, SP-40(9): 2207-2232.[5]Jin Q, et al. Optimal filter banks for signal decomposition and its applications in adaptive echo cancellation, IEEE Trans. on SP, 1996, SP-44(7): 1669-1680.[6]Shynk J J. Frequency-domain and multirate adaptive filtering. IEEE Signal Processing Magazine,[7]92, 9(1): 14-37.[8]Erdol N, et al. Wavelet transform based adaptive filters: Analysis and new results[J].IEEE Trans. on AS.1996, 44(9):2163-2171[9]Tewfik A H, et al. On the optimal choice of a wavelet for signal representation. IEEE Trans. IT. 1992, 38(2): 747-765.[10][美] N.S.杰因特,[德] 彼得.诺尔著,钱亚生,诸厌鳞译.语音与图像的波形编码原理及应用.北京:人民邮电出版社,第二章,1990年.
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