Paper
16 June 1995 Warping time-frequency and time-scale representations to match signals
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard G. Baraniuk "Warping time-frequency and time-scale representations to match signals", Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); https://doi.org/10.1117/12.212004
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Time-frequency analysis

Signal processing

Fourier transforms

Signal analysis

Continuous wavelet transforms

Copper

Space operations

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