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Proceedings Paper

A method to identify and restore a class of aliased signals
Author(s): Patrick J. Loughlin; Aasma Walia
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Paper Abstract

Abstract - When a continuous-time signal is sampled at a rate less than the Nyquist criterion, the signal is aliased. This distortion is usually irrecoverable. However, we show that for certain AM-FM signals, the distortion due to aliasing can be mitigated and an unaliased version of the signal can be recovered from its aliased samples. We present a method for determining whether or not a signal has potentially been distorted by aliasing, and an algorithm for recovering an unaliased version of the signal. The method is based on the manifestation of aliasing in the time-frequency plane, and estimating the instantaneous phase/frequency of the aliased signal.

Paper Details

Date Published: 26 October 2004
PDF: 8 pages
Proc. SPIE 5559, Advanced Signal Processing Algorithms, Architectures, and Implementations XIV, (26 October 2004); doi: 10.1117/12.564246
Show Author Affiliations
Patrick J. Loughlin, Univ. of Pittsburgh (United States)
Aasma Walia, Univ. of Pittsburgh (United States)


Published in SPIE Proceedings Vol. 5559:
Advanced Signal Processing Algorithms, Architectures, and Implementations XIV
Franklin T. Luk, Editor(s)

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