A Rapid Introduction to Adaptive Filtering

by Hernan Rey and Leonardo Rey Vega

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 methods for solving the optimization problem, e.g., the Method of Steepest Descent. By proposing stochastic approximations, several basic adaptive algorithms...

• Format: Paperback
• Language: English
• ISBN: 364230298X
• ISBN13: 9783642302985
• Release Date: August 2012
• Publisher: Springer
• Length: 122 Pages
• Weight: 0.44 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"