Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72516
Title: Channel memory truncation for maximum likelihood sequence estimation
Authors: Farhang-Boroujeny, B. 
Issue Date: 1995
Source: Farhang-Boroujeny, B. (1995). Channel memory truncation for maximum likelihood sequence estimation. IEEE Communication Theory Mini-Conference, Proceedings, CTMC : 172-176. ScholarBank@NUS Repository.
Abstract: Calculating the coefficients of a linear equalizer (prefilter) so that the combined response of the equalizer and a given channel is forced to a limited length (memory), while the signal-to-noise ratio at the equalizer output is maximized, is addressed. The process involves simultaneous calculation of a desired response that the combination of the channel and equalizer should approximate and the equalizer coefficients. An iterative algorithm which is an extension of our previous work [4] is first developed. This is followed by derivation of a non-iterative lattice-based algorithm which uses the Levinson algorithm, in part, to achieve a very low computational complexity.
Source Title: IEEE Communication Theory Mini-Conference, Proceedings, CTMC
URI: http://scholarbank.nus.edu.sg/handle/10635/72516
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