A High-Resolution Time-Frequency Representation of Multi-Component LFM Signals Using Fractional Fourier Transform-Reference-Cited by-同舟云学术

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A High-Resolution Time-Frequency Representation of Multi-Component LFM Signals Using Fractional Fourier Transform

Published:2023-12-14 Issue: Volume:64 Page:221-225
ISSN:
Container-title:Proceedings of the 2023 9th International Conference on Communication and Information Processing
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Author:

Liu Xiaoping¹^ORCID,Shi Jun²^ORCID,Men Zijun²^ORCID,Sun Dehua²^ORCID,Tao Ran¹^ORCID

Affiliation:

1. Beijing Institute of Technology, China

2. Harbin Institute of Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638884.3638916

Reference30 articles.

1. [1] Jun Shi, Jiabin Zheng, Jiabin Liu, Wei Xiang, and Qinyu Zhang. 2020. Novel short-time fractional Fourier transform: Theory, implementation, and applications. IEEE Trans. Signal Process., 68(Jun. 2020), 3280-3295.

2. [2] Jun Shi, Xiaoping Liu, Wei Xiang, Mo Han, and Qinyu Zhang. 2020. Novel fractional wavelet packet transform: Theory, implementation, and applications. IEEE Trans. Signal Process., 68(Jul. 2020), 4041–4054.

3. A High-Resolution Time-Frequency Rate Representation and the Cross-Term Suppression;Zuo Lei;IEEE Trans. Signal Process.,2016

4. [4] Stephane Mallat. 2009. A Wavelet Tour of Signal Processing. New York, NY, USA: Academic Press, 2009.

5. [5] Patrick Flandrin. 2018, Explorations in Time-Frequency Analysis. Cambridge: Cambridge Univ. Press, 2018.

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