Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)

Pacific Grove, CA, USA

Oct. 31, 1994 to Nov. 2, 1994

ISSN: 1058-6393

ISBN: 0-8186-6405-3

pp: 1174-1178

H.R. Sadjadpour , Commun. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA

C.L. Weber , Commun. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA

ABSTRACT

A pseudo-maximum likelihood data estimation (PML) algorithm for discrete channels with finite memory in additive white Gaussian noise is developed. Unlike the traditional methods which utilize the Viterbi algorithm (VA) for data sequence estimation, the PML algorithm offers an alternative solution to the problem which is much easier to implement. There is a tradeoff in the PML algorithm between computational complexity and performance. The performance of PML is compared with the optimum receiver (VA with known channel).<>

INDEX TERMS

maximum likelihood estimation, estimation theory, Gaussian channels, intersymbol interference, digital signals, signal processing, computational complexity

CITATION

H. Sadjadpour and C. Weber, "Pseudo-maximum likelihood data estimation of digital sequences in the presence of intersymbol interference,"

*Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC)*, Pacific Grove, CA, USA, 1995, pp. 1174-1178.

doi:10.1109/ACSSC.1994.471644

CITATIONS