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Proceedings Paper

Warping time-frequency and time-scale representations to match signals
Author(s): Richard G. Baraniuk
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Paper Abstract

Warping similarity transformations provide a powerful vehicle for generating new classes of joint distributions based on concepts different from time, frequency, and scale. These new signal representations focus on the critical characteristics of large classes of signals, and hence, prove useful for representing and processing signals that are not well matched by current techniques. Interestingly, all distributions that have been used to illustrate more complicated generalized distribution design techniques can be generated using the warping method.

Paper Details

Date Published: 16 June 1995
PDF: 12 pages
Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); doi: 10.1117/12.212004
Show Author Affiliations
Richard G. Baraniuk, Rice Univ. (United States)

Published in SPIE Proceedings Vol. 2488:
Visual Information Processing IV
Friedrich O. Huck; Richard D. Juday, Editor(s)

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