Optimal spreading sequences for chaos-based communication systems

Abstract

As a continuation from [2], some higher-order statistical dependency aspects of chaotic spreading sequences used in communication systems are presented. The autocorrelation function (ACF) of the mean-adjusted squares, termed the quadratic autocorrelation function, forms the building block of nonlinear dependence assessment of the family of spreading sequences under investigation. Explicit results are provided for the theoretical lower bound, the so-called Fréchet lower bound, of the quadratic ACF of that family. A method for producing a spreading sequence which attains the Fréchet bound is introduced.

Theodore Papamarkou

Reader in maths of data science

My research interests span probabilistic machine learning, with a main focus on Bayesian deep learning, and topological deep learning.