Abstract:The goal of this work is to describe an optimization approach for selecting a reduced number of samples of the linear prediction residual. Sample determination is a combinatorial problem. Our approach addresses the combinatorial problem with simulated annealing based optimization. We show that better results than that obtained by a standard approximation approach, namely the multipulse algorithm, are obtained with our approach. Multipulse selects pulse locations by a sequential, sub-optimal, algorithm and comp… Show more
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