一种基于小波变换的自适应滤波新方案
A NEW WAVELET TRANSFORM BASED SCHEME FOR ADAPTIVE FILTERING
-
摘要: 本文基于L2(R)函数的尺度函数表示法提出一种适用于声回波对消应用的自适应系统辩识的新方案。该方案可以利用小波变换的抽取特性,降低自适应迭代的次数且保持小波准正交变换的优点。计算机模拟证实了上述论断的正确性。
-
关键词:
- 小波变换; 自适应信号处理; 声回波对消
Abstract: 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. -
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.
计量
- 文章访问数: 2048
- HTML全文浏览量: 152
- PDF下载量: 664
- 被引次数: 0