Beyond bandlimited sampling

Author

Eldar, Yonina C. ; Michaeli, Tomer

Author_Institution

Tel-Aviv Univ. (TAU), Tel-Aviv

Volume

26

Issue

3

fYear

2009

fDate

5/1/2009 12:00:00 AM

Firstpage

48

Lastpage

68

Abstract

Digital applications have developed rapidly over the last few decades. Since many sources of information are of analog or continuous-time nature, discrete-time signal processing (DSP) inherently relies on sampling a continuous-time signal to obtain a discrete-time representation. Consequently, sampling theories lie at the heart of signal processing devices and communication systems. Examples include sampling rate conversion for software radio and between audio formats, biomedical imaging, lens distortion correction and the formation of image mosaics, and super-resolution of image sequences.

Keywords

bandlimited signals; signal processing; audio formats; bandlimited sampling; biomedical imaging; communication system; continuous-time nature; digital applications; discrete-time representation; discrete-time signal processing; image mosaics; image sequences; lens distortion correction; sampling rate conversion; signal processing device; software radio; super-resolution; Biomedical signal processing; Communication systems; Digital signal processing; Heart; Image converters; Image sampling; Information resources; Sampling methods; Signal processing; Signal sampling;

fLanguage

English

Journal_Title

Signal Processing Magazine, IEEE

Publisher

ieee

ISSN

1053-5888

Type

jour

DOI

10.1109/MSP.2009.932125

Filename

4815542