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Wavelet-Based Transformations for Nonlinear Signal Processing

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Title: Wavelet-Based Transformations for Nonlinear Signal Processing
Author: Nowak, Robert David; Baraniuk, Richard G.
Type: Conference Paper
Citation: R. D. Nowak and R. G. Baraniuk,"Wavelet-Based Transformations for Nonlinear Signal Processing," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. 3717-3720.
Abstract: Nonlinearities are often encountered in the analysis and processing of real-world signals. This paper develops new transformations for nonlinear signal processing. The theory of tensor norms is employed to show that wavelets provide an optimal basis for the new transformations. The results are applied to Volterra kernel identification.
Date Published: 1997-04-01

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  • ECE Publications [1047 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.