小波多分辨分析的频带阈值去噪方法  

Frequency Band Threshold Denoising Method Based on Wavelet Multi-resolution Analysis

作　　者：齐子元[1] 米东[1] 徐章隧[1] 

机构地区：[1]军械工程学院无损检测技术研究所,石家庄050003

出　　处：《噪声与振动控制》2008年第2期130-131,134,共3页Noise and Vibration Control

基　　金：国家自然科学基金资助项目(50175109)

摘　　要：提出了一种基于小波多分辨分析的频带阈值去噪方法,并给出了此方法的主要算法步骤。用此方法与单一阈值方法分别对一个实例信号进行了去噪处理,并基于两个客观评价标准:信噪比(SNR)、均方根误差(RSME),评估了去噪效果。实验结果证明了提出的方法是一种更有效的语音去噪方法,大大提高了信噪比,改善了清晰度。A wavelet frequency band threshold denoising method based on multi-resolution analysis is presented and the primary arithmetic steps is given. The soft threshold method and frequency band threshold method are used to denoise a speech signal respectively. The performances of wavelet threshold denoising method according to the objective evaluation standards： signal to noise ratio （SNR）, root square mean error （ RSME ） are evaluated. Experimental results demonstrate that wavelet frequency band threshold method is more efficient for speech signal denoising. It Can greatly improve the SNR and definition.

关 键 词：声学 小波多分辨分析 频带阈值 语音信号 去噪 

分 类 号：TB115[理学—数学]