Tree‐structured complex wavelet‐based Bayesian compressive sensing method | Zendy

Sadeghigol Z. | Zendy; Kahaei M.H. | Zendy; Haddadi F. | Zendy

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Tree‐structured complex wavelet‐based Bayesian compressive sensing method

Author(s) -

Sadeghigol Z.,

Kahaei M.H.,

Haddadi F.

Publication year - 2013

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

eISSN - 1350-911X

pISSN - 0013-5194

DOI - 10.1049/el.2013.2300

Subject(s) - wavelet , bayesian probability , compressed sensing , computer science , tree (set theory) , data mining , artificial intelligence , pattern recognition (psychology) , mathematics , mathematical analysis

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.

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