A method to identify and restore a class of aliased signals

Patrick J. Loughlin; Aasma Walia

doi:10.1117/12.564246

26 October 2004 A method to identify and restore a class of aliased signals

Patrick J. Loughlin, Aasma Walia

Proceedings Volume 5559, Advanced Signal Processing Algorithms, Architectures, and Implementations XIV; (2004) https://doi.org/10.1117/12.564246
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

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.

Citation Download Citation

Patrick J. Loughlin and Aasma Walia "A method to identify and restore a class of aliased signals", Proc. SPIE 5559, Advanced Signal Processing Algorithms, Architectures, and Implementations XIV, (26 October 2004); https://doi.org/10.1117/12.564246

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