A New Matlab De-noising Algorithm for Signal Extraction

作     者：ZHANG Fu-ming WU Song-lin 

作者机构：Institute of Engineering Air Force Engineering University Xi＇an 710038 P. R. China 

出 版 物：《International Journal of Plant Engineering and Management》 (国际设备工程与管理（英文版）)

年 卷 期：2007年第12卷第1期

页      面：18-23页

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 

主　　题：wavelet de-noising Matlab 

摘      要：The goal of a de-noising algorithm is to reconstruct a signal from its noise-corrupted observations. Perfect reconstruction is seldom possible and performance is measured under a given fidelity criterion. In a recent work, the authors addressed a new Matlab algorithm for de-noising. A key method of the algorithm is selecting an optimal basis from a library of wavelet bases for ideal de-noising. The algorithm with an optimal basis from a library of wavelet bases for de-noising was created through making use of Matlab＇s Wavelet Toolbox. The experimental results show that the new algorithm is efficient in signal de-nosing.