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A low complexity Hopfield neural network turbo equalizer
HC Myburgh, JC Olivier - EURASIP Journal on Advances in Signal …, 2013 - Springer
Abstract In this article, it is proposed that a Hopfield neural network (HNN) can be used to
jointly equalize and decode information transmitted over a highly dispersive Rayleigh fading …
jointly equalize and decode information transmitted over a highly dispersive Rayleigh fading …
Applying Bayesian networks and belief propagation to error correction coding
Telecommunication standards utilise numerous different subsystems to improve the quality
of voice and data communications. One of these subsystems is tasked with error detection …
of voice and data communications. One of these subsystems is tasked with error detection …
[PDF][PDF] LLR ENHANCEMENT MODEL FOR A TURBO EQUALIZER
A Tripathy - academia.edu
The turbo equalizer (TEQ) is a baseband signal processor that combines the tasks of
channel equalization and channel decoding in a closed loop by using turbo principles. The …
channel equalization and channel decoding in a closed loop by using turbo principles. The …