engleski

Design of practically perfect-reconstruction cosine-modulated filter banks: A second-order cone programming approach

Designing optimal perfect-reconstruction (PR) and near PR (NPR) cosine-modulated filter banks is essentially a constrained nonlinear minimization problem. This paper proposes two second-order cone-programming based algorithms for designing NPR and practically PR cosine-modulated filter banks with improved performance relative to several established design methods.

Cosine modulated filter banks; perfect reconstruction; second-order cone programming

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