Filter bank interpolation and reconstruction from generalized and recurrent nonuniform samples

Author

Eldar, Yonina C. ; Oppenheim, Alan V.

Author_Institution

Res. Lab. of Electron., MIT, Cambridge, MA, USA

Volume

1

fYear

2000

fDate

2000

Firstpage

324

Abstract

This paper introduces a filter bank interpretation of various sampling strategies, which leads to efficient interpolation and reconstruction methods. An identity, referred to as the interpolation identity, is used to obtain particularly efficient discrete-time systems for interpolation to uniform Nyquist samples, either for further processing in that form or for conversion to continuous-time. The interpolation identity also leads to a new class of sampling theorems including an extension of Papoulis´ (1997) generalized sampling expansion

Keywords

channel bank filters; discrete time filters; filtering theory; interpolation; signal reconstruction; signal sampling; discrete-time systems; filter bank interpolation; generalized sampling expansion; interpolation identity; recurrent nonuniform samples; sampling theorems; signal reconstruction; uniform Nyquist samples; Data acquisition; Digital signal processing; Filter bank; Fourier transforms; Interpolation; Iterative algorithms; Laboratories; Sampling methods; Signal processing; Signal sampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.861961

Filename

861961