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Nonstationary Signal Enhancement Using The Wavelet Transform

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Title: Nonstationary Signal Enhancement Using The Wavelet Transform
Author: Venkatachalam, Vidya; Aravena, Jorge.L.
Type: Conference Paper
Keywords: Temporary
Citation: V. Venkatachalam and J. Aravena,"Nonstationary Signal Enhancement Using The Wavelet Transform," in Proc. of the 28 Southeastern Symposium on System Theory,
Abstract: Conventional signal processing typically involves frequency selective techniques which are highly inadequate for nonstationary signals. In this paper, we present an approach to perform time-frequency selective processing using the Wavelet Transform. The approach is motivated by the excellent localization, in both time and frequency, afforded by the wavelet basis functions. Suitably chosen wavelet basis functions are used to characterize the subspace of signals that have a given localized time-frequency support, thus enabling a time-frequency partitioning of signals. A practical implementation scheme using filter banks is also presented, and the effectiveness of the approach over conventional techniques is demonstrated.
Date Published: 1996-03-20

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  • ECE Publications [1030 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.