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    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. E-mail the author

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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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