A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing-Reference-Cited by-同舟云学术

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A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing

Published:2018-08-01 Issue:3 Volume:38 Page:1206-1263
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Stanković Ljubiša,Sejdić Ervin,Stanković Srdjan,Daković Miloš,Orović Irena

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

http://link.springer.com/article/10.1007/s00034-018-0909-2/fulltext.html

Reference121 articles.

1. M. Aharon, M. Elad, A. Bruckstein, K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans. Signal Process. 54(11), 4311–4322 (2006)

2. N. Ahmed, T. Natarajan, K.R. Rao, Discrete cosine transform. IEEE Trans. Comput. C–23(1), 90–93 (1974)

3. M.G. Amin, Compressive Sensing for Urban Radar (CRC Press, Boca Raton, 2014)

4. D. Angelosante, G.B. Giannakis, E. Grossi, Compressed sensing of time-varying signals, in Proceedings of the 16th international conference on digital signal processing (DSP ’09) (Santorini-Hellas, Greece, 2009), pp. 1–8

5. E. Arias-Castro, Y. Eldar, Noise folding in compressed sensing. IEEE Signal Process. Lett. 18(8), 478–481 (2011)

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