Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian Hypothesis Testing for Block Sparse Signal Recovery   This letter presents a novel Block Bayesian Hypothesis Testing Algorithm
(Block-BHTA) for reconstructing block sparse signals with unknown block
structures. The Block-BHTA comprises the detection and recovery of the
supports, and the estimation of the amplitudes of the block sparse signal. The
support detection and recovery is performed using a Bayesian hypothesis
testing. Then, based on the detected and reconstructed supports, the nonzero
amplitudes are estimated by linear MMSE. The effectiveness of Block-BHTA is
demonstrated by numerical experiments.

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The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
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The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics