Subband adaptive filtering with real-valued subband signals for acoustic echo cancellation

作     者：Chin, WH Farhang-Boroujeny, B 

作者机构：Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn London SW7 2BT England Univ Utah Dept Elect Engn Salt Lake City UT 84112 USA 

出 版 物：《IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING》 (IEE Proc Vision Image Signal Proc)

年 卷 期：2001年第148卷第4期

页      面：283-288页

核心收录：

主　　题：.cancellation analysis and synthesis DFT subband signals Farhang-Boroujeny subband adaptive filters 

摘      要：Adaptive filtering in subbands was originally proposed to overcome the limitations of conventional least-mean-square (LMS) algorithms. In general, subband adaptive filters offer computational savings, as well as faster convergence over the conventional LMS algorithm. However, improvements to current subband adaptive filters could be further enhanced by a more elegant choice of their design/structure. Classical subband adaptive filters employ DFT-based analysis and synthesis filter banks which results in subband signals that are complex-valued. The authors modify the structure of subband adaptive filters by using single-sideband (SSB) modulated analysis and synthesis filter banks, which result in subband signals that are real-valued. This simplifies the realisation of subband adaptive filters.