Abstract We introduce a mathematically new approach for quantization of vectorial signals. Namely, we are aimed at quantizing vectorial signals on input to a computational device that calculates some given function of the input. As opposed to the classical approach, which optimizes the quality of the quantized signal, without taking into account any further transformation of the latter by means of the computational device, here we optimize the quality of quantization on the output of this device. Moreover, we quantize components of the signal separately. This leads to a quantization problem qualitatively different from the classical one. We study existence of optimal quantizers (which is not at all obvious in this setting) and estimate the optimal cost for several classes of functions.
Guo et al. (Thu,) studied this question.