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As a promising theory to recover sparse signal from data samples acquired below the Nyquist rate, compressive sensing (CS) has been drawing pervasive interest in the past decade. In this paper, we explore the compressive sensing potentials for the near-field multiple acoustic-source localization. A novel localization scheme is designed by introducing the optimization of the measurement matrix to enforce...
Particle swarm optimization algorithm is a global optimization technique and a new technology base on swarm brainpower. This ideology comes from manpower anima and evolvement calculation theory. Its algorithm is simple for implement and excellent for application. Particle follow the one which is the best it found in the whole swarm to complete optimize. To solve the adjustable capability of fuzzy...
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