Lonnie C. Ludeman

Random Processes

Filtering, Estiamtion, and Detection

• Gebundenes Buch

Produktbeschreibung

Signal and image processing is essentially the art of turning random information into understandable messages and pictures. An understanding of random processes is crucial in the study of many engineering systems. Filtering, estimation and detection underpins the ability to analyse and design new communications systems or image processing algorithms. In this book, Ludeman clearly explains the basics of probability and random processes, detailing modern detection and estimation theory.

Produktdetails

• Wiley - IEEE
• Verlag: WILEY & SONS
• 1. Auflage
• Seitenzahl: 632
• Erscheinungstermin: 6. Januar 2003
• Englisch
• Abmessung: 240mm x 161mm x 38mm
• Gewicht: 996g
• ISBN-13: 9780471259756
• ISBN-10: 0471259756
• Artikelnr.: 11410103

Autorenporträt

LONNIE C. LUDEMAN, PhD, received his doctorate from Arizona State University and is Professor Emeritus of electrical and computer engineering at New Mexico State University. In 1993, he was a Fulbright Scholar at the Aristotle University in Thessaloniki, Greece. He is the author of Fundamentals of Digital Signal Processing, which won Choice magazine's award for Outstanding Engineering Book of the Year.

Inhaltsangabe

Preface. Experiments and Probability. Random Variables. Estimation of
Random Variables. Random Processes. Linear Systems: Random Processes.
Nonlinear Systems: Random Processes. Optimum Linear Filters: The Wiener
Approach. Optimum Linear Systems: The Kalman Approach. Detection Theory:
Discrete Observation. Detection Theory: Continuous Observation. Appendix A.
The Bilateral Laplace Transform. Appendix B. Table of Binomial
Probabilities. Appendix C. Table of Discrete Random Variables and
Properties. Appendix D. Table of Continuous Random Variables and
Properties. Appendix E. Table of Gaussian Cumulative Distribution Function.
Index.

Rezensionen

"The reader will find an excellent presentation ranging from the basic concepts of probability theory to the advanced topics of RP, filtering, estimation and detection." ( IIE Transactions on Operations Engineering )