NDLI: Signal denoising using line-adaptive lifting wavelet transform

Content Provider	IEEE Xplore Digital Library
Author	Stepien, J. Zielinski, T.P.
Copyright Year	2001
Description	Author affiliation: Dept. of Electron., Univ. of Min. & Metall., Cracow, Poland (Stepien, J.)
Abstract	This paper describes denoising methods of 1D signals using soft thresholding of wavelet transform coefficients. Some adaptive techniques based on classical and lifting versions of the wavelet transform are implemented in software. A new method based on the line-adaptive "update first" lifting scheme is implemented and compared with scale-adaptive denoising based on classical and lifting wavelet transforms. The results show that the line-adaptive "update first" algorithm gives the best results. However, the least-squares (SNR) efficiency of all the methods is very similar. In non-adaptive techniques the denoising quality strongly depends on the proper choice of decomposition filter length according to the signal characteristics. Therefore, application of the adaptive schemes is signal independent. Computer experiments reveal that the line-adaptive "update-first" lifting signal denoising is characterised by very good SNR and the lowest maximum-absolute reconstruction error.
Sponsorship	IEEE Instrum. & Meas. Soc.
Starting Page	1386
Ending Page	1391
File Size	407387
Page Count	6
File Format	PDF
ISBN	0780366468
ISSN	10915281
DOI	10.1109/IMTC.2001.928301
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-21
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal denoising Wavelet transforms Noise reduction Filters Instrumentation and measurement Artificial intelligence Signal processing algorithms Signal to noise ratio Adaptive signal processing History
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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