Low Power Implementation of a Wavelet Based Noise Reduction System

摘要：

Recently most attentions have been given to wavelet based speech enhancement systems rather other approaches like Fourier transform. Wavelet transform is capable of providing both time and frequency information at the same time, properties which make it very useful in nonstationary systems like speech signals. But the problem of wavelet transform is its computational complexity which is several times higher than traditional Fourier transform that increases power consumption. In order to solve this problem a flexible and efficient structure based on Weighted OverLap Add (WOLA) is used and its com putational com plexity is examined. This technique significantly reduces the complexity while providing a SNRI performance close to the previous wavelet transform. The simulation results are promising and decrease the computations about 22％ in comparison to the wavelet transform.

关键词： wavelet transform wavelet packet tree weiner filter WOLA filter

作者: Siamak Rasoolzadeh Roohollah Abdipour

作者单位: Department of Computer Engineering Malayer Branch Islamic Azad University Malayer Iran

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 489-493

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）