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