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Design of complex-valued variable FIR digital filters and its application to the realization of arbitrary sampling rate conversion for complex signals

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3 Author(s)
K. M. Tsui ; Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, China ; S. C. Chan ; K. W. Tse

This brief studies the design of complex-valued variable digital filters (CVDFs) and their applications to the efficient arbitrary sample rate conversion for complex signals. The design of CVDFs using either the minimax or least-squares criteria is formulated as a convex optimization problem and solved using the second-order cone programming (SOCP). In addition, linear and convex quadratic inequality constraints can be readily incorporated. Design examples are given to demonstrate the effectiveness of the proposed approach.

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IEEE Transactions on Circuits and Systems II: Express Briefs  (Volume:52 ,  Issue: 7 )