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. © Springer-Verlag Berlin Heidelberg 2002.
Cite
CITATION STYLE
Hirose, A., & Nagashima, T. (2002). Predictive self-organizing map for vector quantization of migratory signals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2415 LNCS, pp. 884–889). Springer Verlag. https://doi.org/10.1007/3-540-46084-5_143
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