Iterative missing data recovery algorithm for non-stationary signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-021-02128-5.pdf
Reference33 articles.
1. Ali Khan, N., Mohammadi, M.: Reconstruction of non-stationary signals with missing samples using time-frequency filtering. Circuits Syst. Signal Process. 37(8), 3175–3190 (2018)
2. Amin, V.S., Zhang, Y.D., Himed, B.: Sequential time-frequency signature estimation of multi-component FM signals. In: 2019 53rd Asilomar Conference on Signals, Systems, and Computers, pp. 1901–1905 (2019)
3. Amin, V.S., Zhang, Y.D., Himed, B.: Sparsity-based time-frequency representation of FM signals with burst missing samples. Signal Process. 155, 25–43 (2019)
4. Amin, V.S., Zhang, Y.D., Himed, B.: Improved if estimation of multi-component FM signals through iterative adaptive missing data recovery. In: 2020 IEEE Radar Conference (RadarConf20), pp. 1–6 (2020)
5. Amin, V.S., Zhang, Y.D., Himed, B.: Improved time-frequency representation of multi-component FM signals with compressed observations. In: 2020 54th Asilomar Conference on Signals, Systems, and Computers, pp. 1370–1374 (2020)
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