Title :
Factorable FIR Nyquist filters with least stopband energy under sidelobe level constraints
Author :
Liu, Mingyu ; Zarowski, Christopher J. ; Fairman, Frederick W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, Ont., Canada
fDate :
5/1/2000 12:00:00 AM
Abstract :
Spectrally factorable Nyquist filters are used in data communications to avoid intersymbol interference. An approach is developed for obtaining a Nyquist filter that is factorable having the smallest stopband energy for a given sidelobe level. The resulting constrained minimization problem is solved efficiently and reliably using the Goldfarb-Idnani (1983) algorithm. Some examples are presented comparing the present method with a previous approach from the literature
Keywords :
FIR filters; circuit optimisation; data communication; digital filters; intersymbol interference; minimisation; quadratic programming; sequences; Goldfarb-Idnani algorithm; Mueller sequences design; constrained minimization problem; data communications; factorable FIR Nyquist filters; intersymbol interference; quadratic programming; sidelobe level constraints; stopband energy; Cepstral analysis; Chebyshev approximation; Circuits; Digital filters; Finite impulse response filter; Frequency response; Signal design; Signal processing; Signal processing algorithms; Speech processing;
Journal_Title :
Signal Processing, IEEE Transactions on
