NEURAL NETWORK QUANTIZER

A neural network quantizer for quantizing input analog signals includes a plurality of multi-level neurons. The input analog signals are sampled and supplied to respective ones of the multi-level neurons. Output values of the multi-level neurons are converted into analog values, weighted by weighting coefficients determined in accordance with a frequency band of at least one frequency component of the input analog signals and fed back to the respective one of the multi-level neurons and to the other multi-level neurons. The weighted analog values fed back are compared with the respective ones of the sampled input analog signals. The output values of the multi-level neurons are corrected in response to the compared results, and when the compared results are converged within a predetermined range, the output values of the multi-level neurons are produced to quantize the input analog signals.