Title :
Rational sampling filter banks based on IIR filters
Author :
Argenti, Fabrizio ; Re, Enrico Del
Author_Institution :
Dipt. di Ingegneria Elettronic, Firenze Univ., Italy
fDate :
12/1/1998 12:00:00 AM
Abstract :
The problem of splitting the spectrum of a digital signal by using nonuniform infinite impulse response (IIR) filter banks is addressed. Near perfect reconstruction (NPR) is considered. The method uses the modulation of different IIR prototypes. The cancellation of the main aliasing components constrains the prototypes to be dependent on each other. By using this approach, linear-phase prototypes are needed, and noncausal filtering is required. Numerical examples of filter bank design are given, and the computational complexity is compared with the finite impulse response (FIR) case
Keywords :
IIR filters; computational complexity; digital filters; linear phase filters; modulation; network synthesis; signal reconstruction; signal sampling; spectral analysis; FIR filter; IIR filter banks; IIR prototypes; aliasing cancellation; computational complexity; digital signal; filter bank design; finite impulse response; linear-phase prototypes; modulation; near perfect reconstruction; noncausal filtering; nonuniform infinite impulse response; rational sampling filter banks; spectrum splitting; Channel bank filters; Computational complexity; Digital signal processing; Filter bank; Filtering; Finite impulse response filter; IIR filters; Prototypes; Sampling methods; Transfer functions;
Journal_Title :
Signal Processing, IEEE Transactions on
