Fractal-Based Point Processes

Steven Bradley Lowen, Malvin Carl Teich - Collection Wiley Series in Probability and Statistics

600 pages, parution le 09/11/2005

Ajouter à une liste

Indisponible

Résumé

An integrated approach to fractals and point processes

This publication provides a complete and integrated presentation of the fields of fractals and point processes, from definitions and measures to analysis and estimation. The authors skillfully demonstrate how fractal-based point processes, established as the intersection of these two fields, are tremendously useful for representing and describing a wide variety of diverse phenomena in the physical and biological sciences. Topics range from information-packet arrivals on a computer network to action-potential occurrences in a neural preparation.

The authors begin with concrete and key examples of fractals and point processes, followed by an introduction to fractals and chaos. Point processes are defined, and a collection of characterizing measures are presented. With the concepts of fractals and point processes thoroughly explored, the authors move on to integrate the two fields of study. Mathematical formulations for several important fractal-based point-process families are provided, as well as an explanation of how various operations modify such processes. The authors also examine analysis and estimation techniques suitable for these processes. Finally, computer network traffic, an important application used to illustrate the various approaches and models set forth in earlier chapters, is discussed.

Throughout the presentation, readers are exposed to a number of important applications that are examined with the aid of a set of point processes drawn from biological signals and computer network traffic. Problems are provided at the end of each chapter allowing readers to put their newfound knowledge into practice, and all solutions are provided in an appendix. An accompanying Web site features links to supplementary materials and tools to assist with data analysis and simulation.

With its focus on applications and numerous solved problem sets, this is an excellent graduate-level text for courses in such diverse fields as statistics, physics, engineering, computer science, psychology, and neuroscience.

L'auteur - Steven Bradley Lowen

Steven Bradley Lowen, PHD, is Assistant Professor of Psychiatry at Harvard Medical School and is affiliated with the Brain Imaging Center at McLean Hospital in Belmont, Massachusetts. He received a BS degree from Yale University and MS and PhD degrees from Columbia University.

L'auteur - Malvin Carl Teich

Malvin Carl Teich, PHD, is Professor in the Departments of Electrical and Computer Engineering; Biomedical Engineering; and Physics at Boston University; as well as Professor Emeritus at Columbia University. He received SB, MS, and PhD degrees from the Massachusetts Institute of Technology, Stanford University, and Cornell University, respectively.

Sommaire

Introduction
Scaling, Fractals, and Chaos
Point Processes: Definition and Measures
Point Processes: Examples
Fractal and Fractal-Rate Point Processes
Processes Based on Fractional Brownian Motion
Fractal Renewal Processes
Processes Based on the Alternating Fractal Renewal Process
Fractal Shot Noise
Fractal-Shot-Noise-Driven Point Processes
Operations
Analysis and Estimation
Computer Network Traffic
Appendix A: Derivations
Appendix B: Problem Solutions
Appendix C: List of Symbols

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Steven Bradley Lowen, Malvin Carl Teich
Collection	Wiley Series in Probability and Statistics
Parution	09/11/2005
Nb. de pages	600
Format	16 x 24
Couverture	Relié
Poids	985g
Intérieur	Noir et Blanc
EAN13	9780471383765
ISBN13	978-0-471-38376-5