The book presents, for the first time, a detailed analysis of harmonizable processes and fields (in the weak sense) that contain the corresponding stationary theory as a subclass. It also gives the structural and some key applications in detail. These include Levy's Brownian motion, a probabilistic proof of the longstanding Riemann's hypothesis, random fields indexed by LCA and hypergroups, extensions to bistochastic operators, Cramér–Karhunen classes, as well as bistochastic operators with some statistical applications.
The material is accessible to graduate students in probability and statistics as well as to engineers in theoretical applications. There are numerous extensions and applications pointed out in the book that will inspire readers to delve deeper.
Sample Chapter(s)
Preface
1: Harmonizability and Stochastic Analysis
Contents:
Readership: Graduate students and researchers in probability and statistics interested in stochastic processes and harmonizable processes. Electrical-communication engineers as well as other applied professionals in these fields.