Predictive Self-Organizing Map for Vector Quantization of Migratory Signals

Abstract

Predictive self-organizing map (P-SOM) that performs an adaptive vector quantization of migratory signals is proposed. The PSOM separates continuously varying components of the signal from random noise, resulting in a better performance of the adaptive vector quantization. An application to a communication system is presented.