Robust Frequency Estimation of Multi-sinusoidal Signals Using Orthogonal Matching Pursuit with Weak Derivatives Criterion-Reference-Cited by-同舟云学术

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Robust Frequency Estimation of Multi-sinusoidal Signals Using Orthogonal Matching Pursuit with Weak Derivatives Criterion

Published:2018-07-30 Issue:3 Volume:38 Page:1194-1205
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Fu Lihua,Zhang Meng,Liu Zhihui,Li Hongwei

Funder

Hubei Key Laboratory of Intelligent Geo-Information Processing

Hubei Key Laboratory Laboratory of Intelligent Geo-Infomation Processing

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

http://link.springer.com/article/10.1007/s00034-018-0906-5/fulltext.html

Reference29 articles.

1. D. Brewer, M. Barenco, R. Callard, M. Hubank, J. Stark, Fitting ordinary differential equations to short time course data. Philos. Trans. R. Soc. A 366, 519–544 (2008)

2. A.E. Brito, C. Villalobos, S.D. Cabrera, Interior-point methods in l(1) optimal sparse representation algorithms for harmonic retrieval. Optim. Eng. 5, 503–531 (2004)

3. C. Cai, K. Zeng, L. Tang, D. Chen, W. Peng, J. Yan, X. Li, Towards adaptive synchronization measurement of large-scale non-stationary non-linear data. Future Gener. Comput. Syst. 43–44, 110–119 (2015)

4. C. Candan, Analysis and further improvement of fine resolution frequency estimation method from three DFT samples. IEEE Signal Process. Lett. 20, 913–916 (2013)

5. P. Dash, S. Hasan, A fast recursive algorithm for the estimation of frequency, amplitude, and phase of noisy sinusoid. IEEE Trans. Ind. Electron. 58, 4847–4856 (2011)

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