The study of the intermittency test filtering character of Hilbert-Huang transform
Mathematics and Computers in Simulation
Completeness and stability of partial dyadic wavelet domain signal representations
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
Compressive sensing using the modified entropy functional
Digital Signal Processing
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The paper presents an iterative algorithm for signal recovery from discrete-time wavelet transform maxima. The signal recovery algorithm is developed by using the method of projections onto convex sets. Convergence of the algorithm is assured