文章基本信息

标题：Study of Signal Denoising using Kaiser Window and Butterworth Filter
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作者：Richa Gupta ; Onkar Chand
期刊名称：International Journal of Electronics and Computer Science Engineering
电子版ISSN：2277-1956
出版年度：2012
卷号：1
期号：3
页码：1087-1091
出版社：Buldanshahr : IJECSE
摘要：A signal in the communication system is the information containing part which is to be process, but during the processing of the signal some noise is added in the signal and signal becomes noisy. This is now mandatory to eliminate this noise from the signal to get information from the signal. In this paper, a wavelet filter based on Butterworth IIR filter and Kaiser Window FIR filter is designed for the signal analysis. Butterworth low pass IIR filter has limited application in signal denoising. It has maximally flat response in the pass band and, therefore, the filter has distorted output. It makes Butterworth filter little applicable in communication systems and other signal analysis technique. The newly designed matched wavelet filter presents a new concept for better signal analysis and disturbance detection in the communication systems. The limitation of Butterworth low pass filter in signal denoising and other applications can be eliminated by using this matched wavelet filter. We have improved performance in signal filtering by using Kaiser Wavelet filter. This Wavelet filter finds applications in signal analysis, communication system and image compression with a lot of other fields
关键词：Wavelets; FIR; Butterworth Filter; Kaiser Window; Chebyshev Filter