• ISBN13: 9781119046776
• Binding: Hardcover
• Subject: Mathematics and Statistics
• Publisher: Wiley
• Publisher Imprint: Wiley
• Publication Date: January 1, 2015
• Pages: 744
• Original Price: USD 158.95
• Language: English
• Edition: N/A
• Item Weight: 1134 grams
• BISAC Subject(s): Probability & Statistics / General and Information Theory

From the Back Cover

A fresh introduction to random processes utilizing signal theory

By incorporating a signal theory basis, A Signal Theoretic Introduction to Random Processes presents a unique introduction to random processes with an emphasis on the important random phenomena encountered in the electronic and communications engineering field. The strong mathematical and signal theory basis provides clarity and precision in the statement of results. The book also features:

• A coherent account of the mathematical fundamentals and signal theory that underpin the presented material
• Unique, in-depth coverage of material not typically found in introductory books
• Emphasis on modeling and notation that facilitates development of random process theory
• Coverage of the prototypical random phenomena encountered in electrical engineering
• Detailed proofs of results
• A related website with solutions to the problems at the end of each chapter

A Signal Theoretic Introduction to Random Processes is a useful textbook for upper-undergraduate and graduate-level courses in applied mathematics and electrical and communications engineering departments. The book is also an excellent reference for research engineers and scientists who need to characterize random phenomena in their research.

Roy M. Howard, PhD, is Adjunct Senior Research Fellow in the Department of Electrical and Computer Engineering at Curtin University, Perth, Australia. His research expertise includes modeling of stochastic processes, signal theory, and low noise amplifier design.

Roy M. Howard, PhD, is Adjunct Senior Research Fellow in the Department of Electrical and Computer Engineering at Curtin University, Perth, Australia. His research expertise includes modeling of stochastic processes, signal theory, and low noise amplifier design.