article · Journal of International Crisis and Risk Communication Research · 2001
Efficient code excited linear predictor using redundant vector quantiser representations
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Abstract
A novel linear prediction (LP) model-bused coding technique is presented. where the advantages of multiple non-orthogonal domain representations of LP coefficients and the residuals are exploited in conjunction with vector quantisation. The proposed technique is applied to speech signals and the resulting performance improvement is clearly demonstrated in terms of the reconstruction quality.
Cite this paper
(2001). Efficient code excited linear predictor using redundant vector quantiser representations. Journal of International Crisis and Risk Communication Research.
“Efficient code excited linear predictor using redundant vector quantiser representations.” Journal of International Crisis and Risk Communication Research, 2001.
2001. “Efficient code excited linear predictor using redundant vector quantiser representations.” Journal of International Crisis and Risk Communication Research.
(2001) ‘Efficient code excited linear predictor using redundant vector quantiser representations’, Journal of International Crisis and Risk Communication Research.
@article{anon2001efficient,
title = {{Efficient code excited linear predictor using redundant vector quantiser representations}},
journal = {Journal of International Crisis and Risk Communication Research},
year = {2001}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.