Sparse signal recovery and acquisition with graphical models
Publication
, Journal Article
Cevher, V; Indyk, P; Carin, L; Baraniuk, R
Published in: IEEE Signal Processing Magazine
January 1, 2010
Many applications in digital signal processing, machine learning, and communications feature a linear regression problem in which unknown data points, hidden variables, or code words are projected into a lower dimensional space via © 2006 IEEE.
Duke Scholars
Published In
IEEE Signal Processing Magazine
DOI
ISSN
1053-5888
Publication Date
January 1, 2010
Volume
27
Issue
6
Start / End Page
92 / 103
Related Subject Headings
- Networking & Telecommunications
- 4603 Computer vision and multimedia computation
- 4006 Communications engineering
- 0913 Mechanical Engineering
- 0906 Electrical and Electronic Engineering
- 0801 Artificial Intelligence and Image Processing
Citation
APA
Chicago
ICMJE
MLA
NLM
Cevher, V., Indyk, P., Carin, L., & Baraniuk, R. (2010). Sparse signal recovery and acquisition with graphical models. IEEE Signal Processing Magazine, 27(6), 92–103. https://doi.org/10.1109/MSP.2010.938029
Cevher, V., P. Indyk, L. Carin, and R. Baraniuk. “Sparse signal recovery and acquisition with graphical models.” IEEE Signal Processing Magazine 27, no. 6 (January 1, 2010): 92–103. https://doi.org/10.1109/MSP.2010.938029.
Cevher V, Indyk P, Carin L, Baraniuk R. Sparse signal recovery and acquisition with graphical models. IEEE Signal Processing Magazine. 2010 Jan 1;27(6):92–103.
Cevher, V., et al. “Sparse signal recovery and acquisition with graphical models.” IEEE Signal Processing Magazine, vol. 27, no. 6, Jan. 2010, pp. 92–103. Scopus, doi:10.1109/MSP.2010.938029.
Cevher V, Indyk P, Carin L, Baraniuk R. Sparse signal recovery and acquisition with graphical models. IEEE Signal Processing Magazine. 2010 Jan 1;27(6):92–103.
Published In
IEEE Signal Processing Magazine
DOI
ISSN
1053-5888
Publication Date
January 1, 2010
Volume
27
Issue
6
Start / End Page
92 / 103
Related Subject Headings
- Networking & Telecommunications
- 4603 Computer vision and multimedia computation
- 4006 Communications engineering
- 0913 Mechanical Engineering
- 0906 Electrical and Electronic Engineering
- 0801 Artificial Intelligence and Image Processing