Rational sampling filter banks based on IIR filters

Author

Argenti, Fabrizio ; Re, Enrico Del

Author_Institution

Dipt. di Ingegneria Elettronic, Firenze Univ., Italy

Volume

46

Issue

12

fYear

1998

fDate

12/1/1998 12:00:00 AM

Firstpage

3403

Lastpage

3408

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;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.735313

Filename

735313