Communication Systems
Filter design for MIMO sampling and reconstruction
IEEE Transactions on Signal Processing
IIR Approximation of FIR Filters Via Discrete-Time Vector Fitting
IEEE Transactions on Signal Processing
A Square-Root Nyquist (M) Filter Design for Digital Communication Systems
IEEE Transactions on Signal Processing
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A recent digital system identification technique, called discrete-time vector fitting (VFz), is extended to two communication system filter design problems. The first one is the complex infinite-impulse-response (IIR) filter design. The second one is the common-denominator MIMO filter design. In the second problem, a combination of VFz and QR decomposition is proposed to reduce the computational complexity. Robustness in finite-precision arithmetic is imposed in both problems via a pole radius constraint. Numerical examples confirm that VFz exhibits fast convergence and produces highly accurate approximants.