Empirical rate-distortion study of compressive sensing-based joint source-channel coding
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2013
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| Online Access: | http://hdl.handle.net/1721.1/77081 |
| _version_ | 1826209824305577984 |
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| author | Rambeloarison, Muriel Lantosoa |
| author2 | Muriel Médard. |
| author_facet | Muriel Médard. Rambeloarison, Muriel Lantosoa |
| author_sort | Rambeloarison, Muriel Lantosoa |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. |
| first_indexed | 2024-09-23T14:31:39Z |
| format | Thesis |
| id | mit-1721.1/77081 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:31:39Z |
| publishDate | 2013 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/770812019-04-12T21:36:53Z Empirical rate-distortion study of compressive sensing-based joint source-channel coding Rambeloarison, Muriel Lantosoa Muriel Médard. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (p. 45-46). In this thesis, we present an empirical rate-distortion study of a communication scheme that uses compressive sensing (CS) as joint source-channel coding. We investigate the rate-distortion behavior of both point-to-point and distributed cases. First, we propose an efficient algorithm to find the 4-norm regularization parameter that is required by the Least Absolute Shrinkage and Selection Operator (LASSO) which we use as a CS decoder. We then show that, for a point-to-point channel, the rate-distortion follows two distinct regimes: the first one corresponds to an almost constant distortion, and the second one to a rapid distortion degradation, as a function of rate. This constant distortion increases with both increasing channel noise level and sparsity level, but at a different gradient depending on the distortion measure. In the distributed case, we investigate the rate-distortion behavior when sources have temporal and spatial dependencies. We show that, taking advantage of both spatial and temporal correlations over merely considering the temporal correlation between the signals allows us to achieve an average of a factor of approximately 2.5 times improvement in the rate-distortion behavior of the joint source-channel coding scheme. by Muriel Lantosoa Rambeloarison. M.Eng. 2013-02-14T19:17:09Z 2013-02-14T19:17:09Z 2012 2012 Thesis http://hdl.handle.net/1721.1/77081 825820719 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 46 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Rambeloarison, Muriel Lantosoa Empirical rate-distortion study of compressive sensing-based joint source-channel coding |
| title | Empirical rate-distortion study of compressive sensing-based joint source-channel coding |
| title_full | Empirical rate-distortion study of compressive sensing-based joint source-channel coding |
| title_fullStr | Empirical rate-distortion study of compressive sensing-based joint source-channel coding |
| title_full_unstemmed | Empirical rate-distortion study of compressive sensing-based joint source-channel coding |
| title_short | Empirical rate-distortion study of compressive sensing-based joint source-channel coding |
| title_sort | empirical rate distortion study of compressive sensing based joint source channel coding |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/77081 |
| work_keys_str_mv | AT rambeloarisonmuriellantosoa empiricalratedistortionstudyofcompressivesensingbasedjointsourcechannelcoding |