基于小波多分辨率分析和新的阈值自适应的信号去噪  

Signal denoising based on a new adaptive threshold and wavelet multi-resolution analysis

作　　者：杨兴明[1] 吴永忠[1] 孙锐[1] 杨萍[1] 

机构地区：[1]合肥工业大学计算机与信息学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2007年第12期1580-1583,1587,共5页Journal of Hefei University of Technology：Natural Science

基　　金：安徽"十一五"二期重点攻关资助项目(04012501)

摘　　要：针对信号去噪时,信号和噪声的频带相互混叠,且对信噪比有较高要求的情况,提出一种基于小波多分辨率分析和新的阈值自适应的去噪方法。实验结果表明,在采用相同的小波基的情况下,该文提出的算法和Matlab自带算法以及文献[5]提出的算法相比,信噪比得到较大的提高,减少了计算量,增加了算法的实时性。A high signal-to-noise ratio is required for denoising of signals since the band of the signal and the band of the noise aliases mutually. A denoising method based on a new adaptive threshold and wavelet multi-resolution analysis is proposed. The experiment results show that when the same wavelet is used, the signal-to-noise ratio is enhanced greatly by using the algorithm put forward in this paper in comparison with that by the algorithm in the Matlab or the algorithm in related literature,and that the computation is decreased and the real-time property of the algorithm increased.

关 键 词：多分辨率分析 小波 自适应阈值 信噪比 实时性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]