The detection bound of the probability of error in compressed sensing using Bayesian approach
In this paper, we consider the theoretical bound of the probability of error in compressed sensing (CS) with the Bayesian approach. In the detection problem, the signal is sparse and is reconstructed from a compressed measurement vector. Utilizing the oracle estimator in CS, we provide a theoretical...
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Main Authors: | Cao, Jiuwen, Lin, Zhiping |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/103144 http://hdl.handle.net/10220/16909 |
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Institution: | Nanyang Technological University |
Language: | English |
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