Applrling Radial Basis Functions Neural-network-based algorithms strike a good balance between performance and complexity in adaptive equalization


daptive equalization has been an active area of research for many years. Even in 1985 there were a A plethora of available solutions [ 17 whose properties were well understood. Many of the techniques are firmly based on linear adaptive filter algorithms and exhibit the same much-lauded ‘learning’ property as neural networks. Alternatively, maximum… (More)


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