A New Matlab De-noising Algorithm for Signal Extraction
A New Matlab De-noising Algorithm for Signal Extraction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.