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Adaptive LMS Filters

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This chapter contains sections titled:
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