25 September 2003 SURE threshold for denoising complex signals with Waveshrink
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Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538872
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
Abstract
Waveshrink has been proven to be a powerful tool for the problem of signal extraction from noisy data. A key step of the procedure is the selection of the threshold parameter. Donoho and Johnstone propose of the threshold based on a SURE procedure for real signals. In this paper, we discuss the issue of threshold selection for complex signals in Waveshrink. We first review the threshold selection procedure based minimax thresholds and then propose to extend the use of SURE procedure for denoising complex signals with complex wavelet transforms. At last, an example is used to show that the extended SURE procedure is an effective method for denoising complex signals.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guohua Wei, Guohua Wei, Siliang Wu, Siliang Wu, } "SURE threshold for denoising complex signals with Waveshrink", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538872; https://doi.org/10.1117/12.538872
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