A unified framework for designing FIR filters with arbitrary magnitude and phase response
Digital Signal Processing
Nonlinear phase FIR filter design with minimum LS error and additional constraints
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
Accelerated design of FIR filters in the complex domain
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
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The authors present an algorithm for designing an optimal FIR (finite impulse response) filter with real coefficients that best approximates an arbitrary complex-valued frequency response. This algorithm is theoretically guaranteed to converge with each iteration requiring O(N/sup 2/) computations, where N represents the filter length. The properties of the optimal filter are derived and presented, and particular attention is paid to the case where the desired filter has arbitrary constant group delay.