Convex combinations of kernel adaptive filters
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Year
: 2014DOI: 10.1109/ICNSurv.2014.6820017
Keyword(s): Viterbi decoding,n channel estimation,n convolutional codes,n correlation methods,n error statistics,n integral equations,n least mean squares methods,n maximum likelihood estimation,n radio networks,n wireless channels,n BER,n MAP estimate,n MMSE estimate,n MMSE filter,n SNR,n adaptive transmission,n airborne communications,n bit error rate,n block fading assumption,n channel amplitude gain,n channel estimator,n channel frequency of
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Convex combinations of kernel adaptive filters
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| contributor author | Gao, Wei | |
| contributor author | Richard, Cedric | |
| contributor author | Bermudez, Jose-Carlos M. | |
| contributor author | Huang, Jianguo | |
| date accessioned | 2020-03-12T21:48:03Z | |
| date available | 2020-03-12T21:48:03Z | |
| date issued | 2014 | |
| identifier other | 6958882.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1060935?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Convex combinations of kernel adaptive filters | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8192581 | |
| subject keywords | Viterbi decoding | |
| subject keywords | n channel estimation | |
| subject keywords | n convolutional codes | |
| subject keywords | n correlation methods | |
| subject keywords | n error statistics | |
| subject keywords | n integral equations | |
| subject keywords | n least mean squares methods | |
| subject keywords | n maximum likelihood estimation | |
| subject keywords | n radio networks | |
| subject keywords | n wireless channels | |
| subject keywords | n BER | |
| subject keywords | n MAP estimate | |
| subject keywords | n MMSE estimate | |
| subject keywords | n MMSE filter | |
| subject keywords | n SNR | |
| subject keywords | n adaptive transmission | |
| subject keywords | n airborne communications | |
| subject keywords | n bit error rate | |
| subject keywords | n block fading assumption | |
| subject keywords | n channel amplitude gain | |
| subject keywords | n channel estimator | |
| subject keywords | n channel frequency of | |
| identifier doi | 10.1109/ICNSurv.2014.6820017 | |
| journal title | achine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on | |
| filesize | 1069863 | |
| citations | 2 |