A Simple Compressive Sensing Algorithm for Parallel Many-Core Architectures-Reference-Cited by-同舟云学术

A Simple Compressive Sensing Algorithm for Parallel Many-Core Architectures

Published:2012-06-07 Issue:1 Volume:71 Page:1-20
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Borghi Alexandre,Darbon Jérôme,Peyronnet Sylvain,Chan Tony F.,Osher Stanley

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11265-012-0671-9.pdf

Reference56 articles.

1. Al-Kiswany, S., Gharaibeh, A., Santos-Neto, E., Yuan, G., & Ripeanu, M. (2008). StoreGPU: Exploiting graphics processing units to accelerate distributed storage systems. In: Proceedings of the 17th international symposium on high performance distributed computing (HPDC) (pp. 165–174).

2. Andrecut, M. (2009). Fast GPU implementation of sparse signal recovery from random projections. Engineering Letters, 17(3), 151–158.

3. Bader, D. A., & Agarwal, V. (2007). FFTC: Fastest fourier transform for the IBM cell broadband engine. In: S. Aluru, M. Parashar, R. Badrinath, & V. K. Prasanna (Eds.), HiPC, Lecture of Notes in Computer Science (Vol. 4873, pp. 172–184). Springer.

4. Bajwa, W. U., Haupt, J. D., Raz, G. M., Wright, S. J., & Nowak, R. D. (2007). Toeplitz-structured compressed sensing matrices. In: Proceedings of the 14th IEEE/SP workshop on Statistical Signal Processing (SSP) (pp. 294–298).

5. Bernstein, D. J. (2007). The tangent FFT. In: S. Boztas & H. Feng Lu (Eds.), Lecture notes in computer science, applied algebra, algebraic algorithms and error-correcting codes (Vol. 4851, pp. 291–300). Springer.

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