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  • This module is included inLens: richb's DSP resources
    By: Richard BaraniukAs a part of collection:"Adaptive Filters"

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    "A good introduction in adaptive filters, a major DSP application."

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Introduction to Adaptive Filters

Module by: Douglas L. Jones

In many applications requiring filtering, the necessary frequency response may not be known beforehand, or it may vary with time. (Example; suppression of engine harmonics in a car stereo.) In such applications, an adaptive filter which can automatically design itself and which can track system variations in time is extremely useful. Adaptive filters are used extensively in a wide variety of applications, particularly in telecommunications.
    Outline of adaptive filter material
  1. Wiener Filters - L 2 L 2 optimal (FIR) filter design in a statistical context
  2. LMS algorithm - simplest and by-far-the-most-commonly-used adaptive filter algorithm
  3. Stability and performance of the LMS algorithm - When and how well it works
  4. Applications of adaptive filters - Overview of important applications
  5. Introduction to advanced adaptive filter algorithms - Techniques for special situations or faster convergence

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