Translation invariant multi-scale signal denoising based on goodness-of-fit tests
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- 作者：Naveed ur Rehmana ; ; Syed Zain Abbasa ; Anum Asifa ; Anum Javeda ; Khuram Naveeda ; Danilo P. Mandicb
- 关键词：Signal denoising ; Discrete wavelet transform ; Goodness of fit ; Anderson Darling test statistic ; Empirical distribution function
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：131
- 期：Complete
- 页码：220-234
- 全文大小：2590 K
文摘
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A novel multi-scale signal denoising algorithm is presented.
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It employs goodness-of-fit tests on multiple data scales to identify noise.
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Anderson-Darling test statistic is employed within the GOF framework.
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Experimental results have been reported and analyzed for both 1D and 2D signals.