Tree-structured complex wavelet-based Bayesian compressive sensing method

摘要

Using complex wavelets, the tree-structured complex wavelet Bayesian compressive sensing method is proposed. The hidden Markov tree is used for inter-scale relations of wavelet coefficients. The spike-slab distribution is considered for the prior. From simulation results, the number of measurements and the value of reconstruction error reduce by 25% and 65%, respectively.