A Rapid Introduction to Adaptive Filtering

• Main Authors: Vega, Leonardo Rey. (Author), Rey, Hernan. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Engineering.; Artificial intelligence.; Signal, Image and Speech Processing.; Artificial Intelligence (incl. Robotics).; Computational Intelligence.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-30299-2

In this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e., Wiener filtering. Then, they analyze iterative metho...

Table of Contents:

• Wiener Filtering and examples
• Steepest descent procedure
• Stochastic gradient adaptive filtering: LMS (Least Mean Squares), NLMS (Normalized Mean Squares)
• Sign-error algorithm, APA (Affine Projection Algorithms)
• Convergence results
• Applications
• LS (Least Squares) and RLS (Recursive Least Squares)
• Computational complexity and fast implementations
• Applications.