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Sparsity and low-rank structures are recently considered as an important property in various signal processing problems. They have been widely applied in image processing, communication, computer vision, pattern recognition, radar, etc. The main purpose of this paper is to provide a review on sparse representation and low-rank approximation, and their applications in sensor signal processing. Three...
In this paper, a novel algorithm is developed for the design of minimum-phase FIR filters with sparse impulse responses. Traditional minimum-phase FIR filter design approaches are based on autocorrelation sequences of impulse responses and design problems are formulated as a semidefinite program. To achieve sparse designs, l1 norm of filter coefficients is incorporated in the objective function as...
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