An encoder for vector quantization neural networks
F. Ancona, Stefano Rovetta, Rodolfo Zunino · 2005
Large-scale parallelism and analog computation are exploited to obtain a neural module, suitable for both functioning and training, since appropriate signal lines are provided. The VQ encoder is self-contained and therefore can be embedded into any system, either analog or digital. It implements efficiently the vector matching operations, therefore it can be exploited in systems based on any vector quantization algorithm, with good throughput.