6
Radial Basis Function Framework
In Chapters 3, 4, and 5, we have seen the realization of type-2 FAF, ANFIS, and CNFF-based equalizers, respectively. This chapter is dedicated to establishing a common link between them—that they can be brought under the generic framework of the Radial Basis Function (RBF) neural network. RBF based neural networks have been successfully used to solve many nonlinear problems, including that of adaptive equalization. In this context, we present three different adaptive fuzzy/neuro-fuzzy channel equalizers that closely fit into the framework of RBF neural network based systems. We consider the type-2 FAF based channel equalizer along with a CNFF and one based on an ANFIS as applied to mobile cellular channels. ...
Get Neuro-Fuzzy Equalizers for Mobile Cellular Channels now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
