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Adaptive LMS Filters

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2 Author(s)

This chapter contains sections titled:
Introduction
An Adaptive Filter
The Performance Surface
The Gradient and the Wiener Solution
The Method of Steepest Descent
The LMS Algorithm
The Learning Curve and Its Time Constants
Gradient and Weight-Vector Noise
Misadjustment Due to Gradient Noise
A Design Example: Choosing Number of Filter Weights for an Adaptive Predictor
The Efficiency of Adaptive Algorithms
Adaptive Noise Canceling: A Practical Application for Adaptive Filtering
Summary
Bibliography