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Comparison of Compressed Sensing Based Algorithms for Sparse Signal Reconstruction
Compressed sensing theory shows that any signal which is defined as sparse in a given domain can be reconstructed using fewer linear projections instead of using all Nyquist-rate samples. In this paper we investigate basis ...
Bayesian Compressive Sensing For Primary User Detection
(Inst Engineering Technology-IET, 2016)
In compressive sensing (CS)-based spectrum sensing literature most studies consider accurate reconstruction of the primary user signal rather than detection of the signal. Furthermore possible absence of the signal is not ...