Abstract
Genetic algorithm (GA) based on wavelet transform threshold shrinkage (WTS) and translation-invariant threshold shrinkage (TIS) is introduced into the method of noise reduction, where parameters used in WTS and TIS, such as wavelet function, decomposition levels, hard or soft threshold and threshold can be selected automatically. This paper ends by comparing two noise reduction methods on the basis of their denoising performances, computation time, etc. The effectiveness of these methods introduced in this paper is validated by the results of analysis of the simulated and real signals.
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Project (No. 51446020203JW0401) supported by the State Key Laboratory of Oceanic Acoustics Foundation, China
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Ma, Qm., Wang, Xy. & Du, Sp. Method and application of wavelet shrinkage denoising based on genetic algorithm. J. Zhejiang Univ. - Sci. A 7, 361–367 (2006). https://doi.org/10.1631/jzus.2006.A0361
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DOI: https://doi.org/10.1631/jzus.2006.A0361