@inproceedings{521b80de43ef4eb2ab760a0f73b68443,
title = "Codebook prediction: A nonlinear signal modeling paradigm",
abstract = "A nonlinear generalization of the family of autoregressive signal models is introduced. This generalization can be viewed as an autoregressive model with state-varying parameters. For such signals, minimum mean-square error prediction can be reformulated as an interpolation problem. A novel interpretation of the signal as a codebook for its own prediction leads to an interpolation strategy resembling a predictive counterpart to vector quantization. The applicability of this model is then demonstrated empirically for a variety of signals.",
author = "Singer, {Andrew C.} and Wornell, {Gregory W.} and Oppenheim, {Alan V.}",
note = "Funding Information: This work was funded in part by a subcontract from Lockheed Sanders, Inc., under ONR Contract No. N00014-91-C-0125, in part by the Defense Advanced Research Projects Agency mon-itored by ONR under Grant No. N00014-89- J-1489, and in part by the U.S. Air Force-Office of Scientific Research under Grant No. AFOSR-91-OQ34. Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 ; Conference date: 23-03-1992 Through 26-03-1992",
year = "1992",
doi = "10.1109/ICASSP.1992.226617",
language = "English (US)",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "325--328",
booktitle = "ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing",
address = "United States",
}