An upper bound on the performance of a novel feedforward perceptron equalizer

نویسندگان

  • Graham W. Pulford
  • Rodney A. Kennedy
  • Brian D. O. Anderson
چکیده

The emulation of a nonadaptive, binary decision feedback equalizer, operating on a noiseless, finite impulse response channel by a feedforward multilayer processor is considered. This feedforward perceptron equalizer comprises a triangular array of hard-limiting processing elements. The functional similarity between the two systems is exploited to obtain a tight upper bound on the probability of error as a function of the number of layers, using the theory of finite state Markov processes.

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عنوان ژورنال:
  • IEEE Trans. Information Theory

دوره 39  شماره 

صفحات  -

تاریخ انتشار 1993