Reconstruction algorithm in compressed sensing based on maximum a posteriori estimation
نویسندگان
چکیده
منابع مشابه
Reconstruction algorithm in compressed sensing based on maximum a posteriori estimation
We propose a systematic method for constructing a sparse data reconstruction algorithm in compressed sensing at a relatively low computational cost for general observation matrix. It is known that the cost of l1-norm minimization using a standard linear programming algorithm is O(N). We show that this cost can be reduced to O(N) by applying the approach of posterior maximization. Furthermore, i...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2013
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/473/1/012003