In the process of signal processing of pulmonary sounds, the cancellation of ambient noise is very important. Because the ambient noise is a wide band signal in frequency domain, it usually uses adaptive noise canceller (ANC) structure to cancel the ambient noise. However, the usually used algorithm, normalized least mean square (nLMS) algorithm, may fail when dealing with the ambient noise due to time-varying system because of its low convergence speed. In this paper we use transform domain adaptive filter (TDAF) with Walsh-Hadamard transform (WHT) to improve the convergence speed. The simulation results show that this structure would cancel the ambient noise more efficiently.
|頁（從 - 到）||86-87|
|期刊||Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings|
|出版狀態||Published - 1 12月 2002|
|事件||Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States|
持續時間: 23 10月 2002 → 26 10月 2002