Sparse Gabor Time–Frequency Representation Based on $$\ell _{1/2}$$ ℓ 1 / 2 – $$\ell _2$$ ℓ 2 Regularization-Reference-Cited by-同舟云学术

Sparse Gabor Time–Frequency Representation Based on $$\ell _{1/2}$$ ℓ 1 / 2 – $$\ell _2$$ ℓ 2 Regularization

Published:2019-02-27 Issue:10 Volume:38 Page:4700-4722
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Li Rui^ORCID,Zhou Jian

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Natural Science Foundation of Anhui Science and Technology University

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

http://link.springer.com/article/10.1007/s00034-019-01077-2/fulltext.html

Reference47 articles.

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2. J. Akhtar, K.E. Olsen, Sparse frequency extrapolation of spectrograms. in 2017 25th European Signal Processing Conference (EUSIPCO). IEEE (2017), pp. 1135–1139

3. P. Balazs, M. Dörfler, F. Jaillet, Theory, implementation and applications of nonstationary Gabor frames. J. Comput. Appl. Math. 236(6), 1481–1496 (2011)

4. M.J. Bastiaans, Gabor’s expansion of a signal into Gaussian elementary signals. Opt. Eng. 68(4), 538–539 (1980)

5. P. Busch, T. Heinonen, P. Lahti, Heisenberg’s uncertainty principle. Phys. Rep. 452(6), 155–176 (2013)

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