Complex discriminative learning Bayesian neural equalizer

Traditional approaches to channel equalization are based on the inversion of the global (linear or nonlinear) channel response. However, in digital links the complete channel inversion is neither required nor desirable. Since transmitted symbols belong to a discrete alphabet, symbol demodulation can be e ectively recasted as a classi

• Type: Conference
• Year: 1999
• Where: ISCAS
• Authors: Mirko Solazzi, Aurelio Uncini, Elio D. Di Claudio, Raffaele Parisi
• Keywords: Classical Neural Equalizers, Complete Channel Inversion, Hardware, ISCAS 1999, Neural Equalizers