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Applying radial basis functions

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1 Author(s)
Mulgrew, B. ; Dept. of Electr. Eng., Edinburgh Univ., UK

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

Published in:

Signal Processing Magazine, IEEE  (Volume:13 ,  Issue: 2 )