Title :
Maximum likelihood sequence estimation in channels with intersymbol interference and noise memory
Author :
A. Kavcic;J.M.F. Moura
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
We extend the Viterbi algorithm to observable sequences with memory and demonstrate that the complexity of the solution remains only linearly proportional to the sequence length, as long as the memory of the observable process is Markov.
Keywords :
"Maximum likelihood estimation","Intersymbol interference","Additive noise","Viterbi algorithm","Detectors","Working environment noise","Finite impulse response filter","Maximum likelihood detection","Digital communication","Pulse modulation"
Conference_Titel :
Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
Print_ISBN :
0-7803-5000-6
DOI :
10.1109/ISIT.1998.708971
