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2019 | OriginalPaper | Buchkapitel

The Optimization of Generalized S-Transform Based on Aggregation Measure

verfasst von : Yuning Zhao, Xiaodong Yang, Yun Lin

Erschienen in: Communications, Signal Processing, and Systems

Verlag: Springer Singapore

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Abstract

Time-frequency analysis theory is frequently-used in signal processing field. The S transform (ST) and its generalized form are the improved forms of wavelet transform (WT) and the short time Fourier transform (STFT). In generalized S transform (GST) algorithm, the key problem is the choice of the window function and the optimization of the parameters. This paper proposed a method to solve this problem. Linear FM signal and nonlinear FM signal are used to verify the effectiveness of this method.

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Metadaten
Titel
The Optimization of Generalized S-Transform Based on Aggregation Measure
verfasst von
Yuning Zhao
Xiaodong Yang
Yun Lin
Copyright-Jahr
2019
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6571-2_164

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