Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISIT.1998.708847
Title: Iterative sequence estimation using unconstrained state space
Authors: Alexander, P.D. 
Grant, A.J.
Issue Date: 1998
Source: Alexander, P.D., Grant, A.J. (1998). Iterative sequence estimation using unconstrained state space. IEEE International Symposium on Information Theory - Proceedings : 242-. ScholarBank@NUS Repository. https://doi.org/10.1109/ISIT.1998.708847
Abstract: Iterative sequence estimation complexity for concatenated finite state machines may be reduced if one of the constituent FSMs is linear and an appropriate vector space can be defined. © 1998 IEEE.
Source Title: IEEE International Symposium on Information Theory - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/112342
ISBN: 0780350006
ISSN: 21578095
DOI: 10.1109/ISIT.1998.708847
Appears in Collections:Staff Publications

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