1993
DOI: 10.1109/78.258084
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The hyperbolic class of quadratic time-frequency representations. I. Constant-Q warping, the hyperbolic paradigm, properties, and members

Abstract: The time-frequency (TF) version of the wavelet transform and the "affine" quadraticlbilinear TF representations can be used for a TF analysis with constant-Q characteristic. This paper considers a new approach to constant-Q TF analysis. A specific TF warping transform is applied to Cohen's class of quadratic TF representations, which results in a new class of quadratic TF representations with constant-Q characteristic. The new class is related to a "hyperbolic TF geometry" and is thus called the hyperbolic cla… Show more

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Cited by 121 publications
(91 citation statements)
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“…HFM is a popular waveform for active acoustic systems, and a comprehensive time-frequency analysis on it can be found in [10] and [11]. HFM waveforms have been used in reverberation suppression [12], target phase extraction [5], and Doppler estimation [6] [7]; this paper dedicates itself to target tracking.…”
Section: Introductionmentioning
confidence: 99%
“…HFM is a popular waveform for active acoustic systems, and a comprehensive time-frequency analysis on it can be found in [10] and [11]. HFM waveforms have been used in reverberation suppression [12], target phase extraction [5], and Doppler estimation [6] [7]; this paper dedicates itself to target tracking.…”
Section: Introductionmentioning
confidence: 99%
“…case, the generalized time-shift covariance property in (2) simplifies to the hyperbolic time-shift covariance property [14]. The paper is organized as follows.…”
mentioning
confidence: 99%
“…In Section III, we develop the basic theory of the PC's. We show that each PC can be derived from the affine class by a unitary "power warping" mapping similar conceptually to the warping method used to derive the hyperbolic class from Cohen's class [14], [16], [17], [29]- [31]. We discuss the relation of the PC's to a signal expansion into "power impulses," which generalizes the conventional Fourier transform.…”
mentioning
confidence: 99%
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