Dividing the grids of compressed sensing for channel estimation and investigating Markov codes-Reference-Cited by-同舟云学术

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Dividing the grids of compressed sensing for channel estimation and investigating Markov codes

Published:2018 Issue:2 Volume:9 Page:259-267
ISSN:2185-4106
Container-title:Nonlinear Theory and Its Applications, IEICE
language:en
Short-container-title:NOLTA

Author:

Yang Dongshin¹,Jitsumatsu Yutaka²

Affiliation:

1. Dept. of Informatics, Grad. Sch. of Information Science and Electrical Engineering, Kyushu University

2. Dept. of Informatics, Kyushu University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Link

https://www.jstage.jst.go.jp/article/nolta/9/2/9_259/_pdf

Reference11 articles.

1. [1] K. Hayashi, M. Nagahara, and T. Tanaka, “A user's guide to compressed sensing for communications systems,” IEICE Trans. on Communications, vol. E96-B, no. 3, pp. 685-712, March 2013.

2. [2] D.L. Donoho, “Compressed sensing,” IEEE Trans. on Information Theory, vol. 52, no. 4, pp. 1289-1306, April 2006.

3. [3] W.U. Bajwa, et al., “Compressed channel sensing: A new approach to estimating sparse multipath channels,” Proceedings of the IEEE, vol. 98, no. 6, pp. 1058-1076, June 2010.

4. [4] G. Tang, et al., “Compressed sensing off the grid,” IEEE Trans. on Information Theory, vol. 59, no. 11, pp. 7465-7490, November 2013.

5. [5] D. Yang and Y. Jitsumatsu, “Parameter discretization problem in channel estimation method based on compressed sensing,” IEICE General Conference, A-8-20, March 2016.

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