Abstract: In this paper we present an entropy based method to analyze complex systems. Systems are treated as black boxes, which only expose information by some specified paramete...
A spontaneous symmetry breaking argument is applied to the problem of protein form, via a Rate Distortion analysis of the relation between genome coding and the final condensation...
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Abstract--A robust frequency-hopping system with noncoherent detection, iterative turbo decoding and demodulation, and channel estimation is presented. The data modulation is the s...
The goal of the paper is to create a model for investigating the character of relationships between the freedom and restrictions in the terrorism context, in order to find out how ...