Global LMS estimate of wavelet coefficients for signal denoising

Wavelet transform is a powerful tool for signal denoising. Also, some wavelet domain filters were presented, which can be used to obtain an optimal estimate of the wavelet coefficients. In this paper, a global least mean-squared error estimate of the wavelet coefficients is developed, which can yield the least mean-squared error estimate of the original signal. In addition, an optimal threshold for the soft thresholding is introduced.

[1]  David L. Donoho,et al.  De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.

[2]  Robert D. Nowak,et al.  Wavelet-based Rician noise removal for magnetic resonance imaging , 1999, IEEE Trans. Image Process..

[3]  X Wang,et al.  Optimal edge-preserving hybrid filters , 1994, IEEE Trans. Image Process..