Warping time-frequency and time-scale representations to match signals

Richard G. Baraniuk

Warping time-frequency and time-scale representations to match signals

Houston Methodist

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Editors	Friedrich O. Huck, Richard D. Juday
Publisher	Society of Photo-Optical Instrumentation Engineers
Pages	34-45
Number of pages	12
Volume	2488
ISBN (Print)	0819418412
State	Published - Jan 1 1995
Event	Visual Information Processing IV - Orlando, FL, USA Duration: Apr 17 1995 → Apr 18 1995

Other

Other	Visual Information Processing IV
City	Orlando, FL, USA
Period	4/17/95 → 4/18/95

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Cite this

Warping time-frequency and time-scale representations to match signals. / Baraniuk, Richard G.
Proceedings of SPIE - The International Society for Optical Engineering. ed. / Friedrich O. Huck; Richard D. Juday. Vol. 2488 Society of Photo-Optical Instrumentation Engineers, 1995. p. 34-45.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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ER -

Warping time-frequency and time-scale representations to match signals

Abstract

Other

ASJC Scopus subject areas

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