Issue No. 03 - May/June (2000 vol. 2)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/5992.841791
Wavelet shrinkage denoising provides a new way to reduce noise in signals. The author demonstrates 1D and 2D examples, tests the performance of various ideal and practical Fourier- and wavelet-based denoising procedures, and makes recommendations for practitioners.
Carl Taswell, "The What, How, and Why of Wavelet Shrinkage Denoising", Computing in Science & Engineering, vol. 2, no. , pp. 12-19, May/June 2000, doi:10.1109/5992.841791