@inproceedings{ab09f8a54b66423a9463b31fbbb33038,
title = "A synthesis method for multichannel autoregressive processes",
abstract = "A method is described for synthesizing multichannel autoregressive (AR) random processes. The procedure allows for variable temporal and cross-channel correlation properties subject to specific constraints for correlation functions. The resulting synthesized processes provide a 'fit' in a minimum mean squared error (MMSE) sense to the correlation functions which are specified in terms of temporal and cross-channel correlation parameters of the processes. Computer simulation results are presented showing the case of a two channel AR process with various temporal and cross-channel correlations. A method is also suggested to generalize the synthesized outputs to obtain complex processes with jointly Gaussian quadrature components where the usual assumptions associated with a complex Gaussian process are relaxed.",
author = "Michels, {J. H.} and P. Varshney and D. Weiner",
year = "1991",
language = "English (US)",
isbn = "0818621804",
series = "Conference Record - Asilomar Conference on Circuits, Systems & Computers",
publisher = "Publ by Maple Press, Inc",
pages = "63--68",
booktitle = "Conference Record - Asilomar Conference on Circuits, Systems & Computers",
note = "24th Asilomar Conference on Signals, Systems and Computers Part 2 (of 2) ; Conference date: 05-11-1990 Through 07-11-1990",
}