Neural network structure for emulating decision feedback equalisers

Author

Pulford, Graham W. ; Kennedy, Rodney A. ; Anderson, Brian D O

Author_Institution

Dept. of Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia

fYear

1991

fDate

14-17 Apr 1991

Firstpage

1517

Abstract

The emulation of a tuned decision feedback equalizer operating on a noiseless finite impulse response channel by a feedforward multilayer neural network is considered. The similarity between the two structures is exploited to obtain tight bounds on the probability of error for the neural nets as a function of the number of layers, using the theory of finite state Markov processes. A class of channels for which exact representation by a neural net of finite complexity is possible is established

Keywords

Markov processes; equalisers; neural nets; signal processing; telecommunication channels; equaliser emulation; error probability bounds; feedforward multilayer neural network; finite state Markov processes; noiseless finite impulse response channel; signal processing; tuned decision feedback equalizer; Analytical models; Australia Council; Decision feedback equalizers; Information science; Intersymbol interference; Joining processes; Markov processes; Multi-layer neural network; Neural networks; Neurofeedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150523

Filename

150523