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The classical algorithms in DOA (Direction Of Arrival) estimation endure two obvious drawbacks that they are invalid when faced with the time-varying signals and difficult to be implemented in hardware. In this paper, we propose that Locally Competitive Algorithm (LCA) be applied to estimate the time-varying signals' DOA innovatively. In order to solve the l1-minimization problems rapidly and efficiently,...
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. Besides sparse prior, cluster prior is introduced in this paper in order to investigate a class of structural sparse signals, called clustered sparse signals. A hierarchical statistical model is employed via Bayesian approach...
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