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|Title:||A new scale adaptive wavelet thresholding method for denoising using chi-square test statistic|
Adaptive Signal Processing
|Citation:||Proceedings of the 9th International Conference on Electronics, Circuits and Systems (V 3), Dubrovnik, Croatia, 15-18 September 2002, 859-862|
|Abstract:||In this paper we develop a new scale adaptive scheme of wavelet thresholding for noise removal. The method uses chi-square test statistics (CTS) to discriminate between noise and signal among the wavelet coefficients. The scheme uses CTS as a ruler to measure the similarity between the statistical model and the true distribution of noise. The basic philosophy of the proposed method is similar to a recursive hypothesis testing procedure. We demonstrate this method by denoising signals corrupted with additive zero-mean Gaussian noise.|
|Appears in Collections:||Proceedings papers|
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