Referenced Items are not available for this document.
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.
Published in:
Signal Processing Magazine, IEEE
(Volume:26
,
Issue:
3
)
Date of Publication: May 2009
- Page(s):
- 48 - 68
- ISSN :
- 1053-5888
- INSPEC Accession Number:
- 10587125
- Digital Object Identifier :
- 10.1109/MSP.2009.932125
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 17 April 2009
- Issue Date :
- May 2009
- Sponsored by :
- IEEE Signal Processing Society
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