Books by Alexander D. (The University of Alabama Poularikas

Explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. This book introduces discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm.

Emphasizes the fundamentals of analog and digital signals and systems. Offering insights into the basic concepts and methods, this text presents a variety of examples that illustrate a wide range of applications, from microelectromechanical to worldwide communication systems.

Explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. This book introduces discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm.