Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37722
Title: Denoising by multiwavelet singularity detection
Authors: Ho, CYF
Ling, BWK
Tam, PKS
Keywords: Signal denoising
Signal detection
Signal reconstruction
Wavelet transforms
Issue Date: 2003
Source: Proceedings of the International Conference on Neural Networks and Signal Processing (ICNNSP'2003), Nanjing, China, 14-17 Dec. 2003, p. 616-619 How to cite?
Abstract: Wavelet denoising by singularity detection was proposed as an algorithm that combines Mallat and Donoho's denoising approaches. With wavelet transform modulus sum, we can avoid the error and ambiguities of tracing the modulus maxima across scales and the complicated and computationally demanding reconstruction process. We can also avoid the visual artifacts produced by shrinkage. In this paper, we investigate a multiwavelet denoising algorithm based on a modified singularity detection approach. Improved signal denoising results are obtained in comparison to the single wavelet case.
URI: http://hdl.handle.net/10397/37722
ISBN: 0-7803-7702-8
DOI: 10.1109/ICNNSP.2003.1279349
Appears in Collections:Conference Paper

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