Design of channel-optimized vector quantizers in the presence of channel mismatch
We study the design of channel-optimized vector quantizers in the presence of channel mismatch. We show that when the statistics of the channel bit-error rate (BER) are not known, a minimax solution is the one obtained by designing for the worst possible channel. Then, we consider the case when the...
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| Veröffentlicht in: | IEEE transactions on communications 2000-01, Vol.48 (1), p.118-124 |
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| container_title | IEEE transactions on communications |
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| creator | Jafarkhani, H. Farvardin, N. |
| description | We study the design of channel-optimized vector quantizers in the presence of channel mismatch. We show that when the statistics of the channel bit-error rate (BER) are not known, a minimax solution is the one obtained by designing for the worst possible channel. Then, we consider the case when the probability density function of channel BER is known and propose an algorithm that provides a minimum average distortion. Also, by using an estimate of the channel BER at the decoder, we develop a decoder-adaptive scheme that further improves the performance. In all cases, we have limited ourselves to table-lookup decoders, which amount to very small computational complexities. Finally, the utilization of lookup tables at the encoder and the effects of imperfect estimation of channel BERs are considered. |
| doi_str_mv | 10.1109/26.818879 |
| format | Article |
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| ispartof | IEEE transactions on communications, 2000-01, Vol.48 (1), p.118-124 |
| issn | 0090-6778 1558-0857 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Bit error rate Channels Counters Decoders Decoding Encoders Fading Lookup tables Mathematical analysis Minimax techniques Power capacitors Probability density function Speech processing Statistics Switches Table lookup Vectors (mathematics) |
| title | Design of channel-optimized vector quantizers in the presence of channel mismatch |
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