Applying radial basis functions
B. Mulgrew · IEEE Signal Processing Magazine · 1996
Discusses the application of neural networks to general and radial basis functions and in particular to adaptive equalization and interference rejection problems. Neural-network-based algorithms strike a good balance between performance and complexity in adaptive equalization, and show promise in spread spectrum systems.