Abstract—We present a unified graphical model framework for describing compound codes and deriving iterative decoding algorithms. After reviewing a variety of graphical models (...
This paper presents a new decoding method inspired by Mitzenmacher’s idea of adding a different pseudo-random number to each packet, in a packet-symbol (n, k) code, for verificat...
In this paper, we develop an approach toward joint source-channel coding for motion-compensated DCT-based scalable video coding and transmission. A framework for the optimal select...
Lisimachos P. Kondi, Faisal Ishtiaq, Aggelos K. Ka...
—The fundamental result of linear network coding asserts the existence of optimal codes over acyclic networks when the symbol field is sufficiently large. The restriction to just...
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...