Title :
Design of FIR Nyquist filters with low group delay
Author :
Zhang, Xi ; Yoshikawa, Toshinori
Author_Institution :
Dept. of Electr. Eng., Nagaoka Univ. of Technol., Niigata, Japan
fDate :
5/1/1999 12:00:00 AM
Abstract :
A new method is proposed for designing FIR Nyquist filters with zero-crossing impulse response and low group delay. It is first shown that FIR Nyquist filters that satisfy the zero-crossing time-domain condition have a frequency response property where both the magnitude and phase responses in the passband are dependent on the stopband response. Therefore, the design problem will become a magnitude approximation in the stopband. The proposed procedure is based on the formulation of a linear problem by using the multiple Remez exchange algorithm in the stopband directly. Hence, the filter coefficients can be computed by solving linear equations, and the optimal solution with an equiripple stopband response is easily obtained after applying an iteration procedure. Although the proposed Nyquist filters have an approximate linear phase response, its group delay is lower than the conventional FIR Nyquist filters. The proposed procedure is computationally efficient because it only solves a set of linear equations. Finally, the characteristics of the low-delay FIR Nyquist filters are examined, and the performance is compared with the conventional FIR Nyquist filters
Keywords :
FIR filters; delays; digital filters; equiripple filters; frequency response; linear phase filters; network synthesis; time-domain synthesis; approximate linear phase response; computationally efficient procedure; conventional FIR Nyquist filters; equiripple stopband response; filter coefficients; filter design; frequency response; iteration procedure; linear equations; low group delay; low-delay FIR Nyquist filters; magnitude approximation; magnitude response; multiple Remez exchange algorithm; optimal solution; passband; perfect reconstruction filter bank; zero-crossing impulse response; zero-crossing time-domain condition; Delay; Design methodology; Digital filters; Equations; Filter bank; Finite impulse response filter; Frequency response; IIR filters; Nonlinear filters; Signal processing algorithms;
Journal_Title :
Signal Processing, IEEE Transactions on