Paper
24 October 1997 Quartic functions for time-frequency analysis with applications to signal-adaptive kernel design
Jeffrey C. O Neill
Author Affiliations +
Abstract
In time-frequency analysis, we extend functions of one variable to functions of two variables. The functions of two variables provide information about the signal that is not easily discernible from the functions of one variable. In this paper, we investigate a method for creating quartic functions of three variables and also a quartic function of all four variables. These quartic functions provide a meaningful representation of the signal that goes beyond the well known quadratic functions. The quartic functions are applied to the design of signal-adaptive kernels for Cohen's class and shown to provide improvements over previous methods.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey C. O Neill "Quartic functions for time-frequency analysis with applications to signal-adaptive kernel design", Proc. SPIE 3162, Advanced Signal Processing: Algorithms, Architectures, and Implementations VII, (24 October 1997); https://doi.org/10.1117/12.279484
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Time-frequency analysis

Doppler effect

Fermium

Frequency modulation

Fourier transforms

Algorithm development

Detection and tracking algorithms

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