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Efficient algorithms for sequence detection in non-Gaussian noise with intersymbol interference

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2 Author(s)
Yue Chen ; Dept. of Electr. Eng. & Comput. Sci., Lehigh Univ., Bethlehem, PA, USA ; Blum, R.S.

Sequence detection is studied for communication channels with intersymbol interference and non-Gaussian noise using a novel adaptive receiver structure. The receiver adapts itself to the noise environment using an algorithm which employs a Gaussian mixture distribution model and the expectation maximization algorithm. Two alternate procedures are studied for sequence detection. These are a procedure based on the Viterbi (1967) algorithm and a symbol-by-symbol detection procedure. The Viterbi algorithm minimizes the probability the sequence is in error and the symbol-by-symbol detector minimizes symbol error rate, which are different

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Signal Processing Advances in Wireless Communications, 1999. SPAWC '99. 1999 2nd IEEE Workshop on

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