Open Access
Frequency Estimation Using Time-Frequency Based Methods
Cuong Mai
- 01 Jan 2007
TL;DR: This Thesis is protected by copyright and/or related rights and has been brought to you by ScholarWorks@UNO with permission from the rights-holder(s).
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Abstract: This Thesis is protected by copyright and/or related rights. It has been brought to you by ScholarWorks@UNO with permission from the rights-holder(s). You are free to use this Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rightsholder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/or on the work itself.
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References
Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals
Boualem Boashash
- 01 Apr 1992
TL;DR: The concept of instantaneous frequency (IF), its definitions, and the correspondence between the various mathematical models formulated for representation of IF are discussed in this paper, and the extent to which the IF corresponds to the intuitive expectation of reality is also considered.
Estimating and Interpreting The Instantaneous Frequency of a Signal
Boualem Boashash
- 01 Jan 1992
TL;DR: In this paper, the concept of instantaneous frequency (IF) is extended to discrete-time signals, and the specific problem of estimating the IF of frequency-modulated (FM) discrete time signals embedded in Gaussian noise is explored.
1.2K
Joint time-frequency analysis
Shie Qian,Dapang Chen +1 more
TL;DR: This article introduces the so-called model-based (or parametric) time-frequency analysis method, and introduces the basic concepts and well-tested algorithms for joint time- frequencies analysis.
806
The chirplet transform: physical considerations
Steve Mann,Simon Haykin +1 more
TL;DR: The proposed chirplets are generalizations of wavelets related to each other by 2-D affine coordinate transformations in the time-frequency plane, as opposed to wavelets, which are related to Each other by 1-D affirmations in thetime domain only.
546
A four-parameter atomic decomposition of chirplets
TL;DR: It is observed that the chirplet decomposition and the related TFD provide more compact and precise representation of signal inner structures compared with the commonly used time-frequency representations.
233