Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems
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: 2014DOI: 10.1109/TIT.2014.2364403
Keyword(s): decoding,inverse problems,audio source separation,high-dimensional linear inverse problems,high-dimensional vectors,ideal decoders,linear operator,low-dimensional observation,low-rank matrices,medical imaging,noise-aware instance optimal decoders,noise-blind decoder,noise-robust settings,performance limits,robust decoders,sparse inverse covariance matrices,sparse recovery,sparse vectors,Covariance matrices,Decoding,Image reconstruction,Inverse problems,Noise measurement,Sp
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Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems
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| contributor author | Bourrier, Anthony | |
| contributor author | Davies, Mike E. | |
| contributor author | Peleg, Tomer | |
| contributor author | Perez, Pablo | |
| contributor author | Gribonval, Remi | |
| date accessioned | 2020-03-13T00:26:56Z | |
| date available | 2020-03-13T00:26:56Z | |
| date issued | 2014 | |
| identifier issn | 0018-9448 | |
| identifier other | 6933870.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1147153 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8330085 | |
| subject keywords | decoding | |
| subject keywords | inverse problems | |
| subject keywords | audio source separation | |
| subject keywords | high-dimensional linear inverse problems | |
| subject keywords | high-dimensional vectors | |
| subject keywords | ideal decoders | |
| subject keywords | linear operator | |
| subject keywords | low-dimensional observation | |
| subject keywords | low-rank matrices | |
| subject keywords | medical imaging | |
| subject keywords | noise-aware instance optimal decoders | |
| subject keywords | noise-blind decoder | |
| subject keywords | noise-robust settings | |
| subject keywords | performance limits | |
| subject keywords | robust decoders | |
| subject keywords | sparse inverse covariance matrices | |
| subject keywords | sparse recovery | |
| subject keywords | sparse vectors | |
| subject keywords | Covariance matrices | |
| subject keywords | Decoding | |
| subject keywords | Image reconstruction | |
| subject keywords | Inverse problems | |
| subject keywords | Noise measurement | |
| subject keywords | Sp | |
| identifier doi | 10.1109/TIT.2014.2364403 | |
| journal title | Information Theory, IEEE Transactions on | |
| journal volume | 60 | |
| journal issue | 12 | |
| filesize | 1647763 | |
| citations | 0 |