Optimized analog filter designs with flat responses by semidefinite programming
IEEE Transactions on Signal Processing
New approach to look-up-table design and memory-based realization of FIR digital filter
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Design and performance analysis of adjustable window functions based cosine modulated filter banks
Digital Signal Processing
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A new design method for complex-valued two-channel finite impulse response (FIR) filter banks with both orthogonality and symmetry properties is developed. Based on a novel linear matrix inequality (LMI) characterization of trigonometric curves, the optimal design of perfect-reconstruction filter banks is cast into a semidefinite programming (SDP) problem. The dimension of the resulting SDP problem is further reduced by exploiting convex duality. Consequently, the globally optimal solution can be found for any practical filter length and desired regularity order.