A Bat-Inspired Sparse Recovery Algorithm for Compressed Sensing
نویسندگان
چکیده
منابع مشابه
A signal recovery algorithm for sparse matrix based compressed sensing
We have developed an approximate signal recovery algorithm with low computational cost for compressed sensing on the basis of randomly constructed sparse measurement matrices. The law of large numbers and the central limit theorem suggest that the developed algorithm saturates the Donoho-Tanner weak threshold for the perfect recovery when the matrix becomes as dense as the signal size N and the...
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2018
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2018/1365747