In wireless networks, throughput optimization is an essential performance objective that cannot be adequately characterized by a single criterion (such as the minimum transmitted o...
In this paper, a supervised neural network training technique based on constrained optimization is developed for preserving prior knowledge of an input
— Today, there are many opportunities to create vision-based intelligent systems that are human-centric. This is a very rich area because humans are very complex, and the number ...
Robert Bodor, Andrew Drenner, Paul R. Schrater, Ni...
Abstract-- This paper presents novel results on Perfect Reconstruction Feedback Quantizers (PRFQs), i.e., noise-shaping, predictive and sigma-delta A/D converters whose signal tran...
Milan S. Derpich, Eduardo I. Silva, Daniel E. Quev...