Probability, Random Variables and Stochastic Processes with Errata Sheet

Papoulis, Athanasios, Pillai, S. Unnikrishna

ISBN 10: 0072817259 / ISBN 13: 9780072817256

Edité par McGraw-Hill Science/Engineering/Math, 2001

A propos de cet article

Acceptable.

N° de réf. du vendeur ERICA82900728172592

Détails bibliographiques

• Titre: Probability, Random Variables and Stochastic Processes with Errata Sheet
• Éditeur: McGraw-Hill Science/Engineering/Math
• Date de parution: 2001
• Langue: anglais
• ISBN à 10 chiffres: 0072817259
• ISBN à 13 chiffres: 9780072817256
• Reliure: hardcover
• Édition: 4ème Édition
• État de l'article: Acceptable
• Type de livre: book

A propos de ce titre

Synopsis

The fourth edition of Probability, Random Variables and Stochastic Processes has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest. Approximately 1/3 of the text is new material--this material maintains the style and spirit of previous editions. In order to bridge the gap between concepts and applications, a number of additional examples have been added for further clarity, as well as several new topics.

À propos de l?auteur

S. Unnikrishna Pillai is a Professor of Electrical and Computer Engineering at Polytechnic Institute of NYU in Brooklyn, New York. His research interests include radar signal processing, blind identification, spectrum estimation, data recovery and wavform diversity. Dr. Pillai is the author of Array Signal Processign and co-author of Spectrum Estimation and system Identification, Prof. Papoulis Probability, Random Variables and Stochastic processes (Fourth edition), and Space Based Radar Theory & Applications.