Sparse Filter Design Under a Quadratic Constraint: Low-Complexity Algorithms

Abstract

This paper considers three problems in sparse filter design, the first involving a weighted least-squares constraint on the frequency response, the second a constraint on mean squared error in estimation, and the third a constraint on signal-to-noise ratio in detection. The three problems are unified under a single framework based on sparsity maximization… (More)
DOI: 10.1109/TSP.2012.2229996

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