Introduction to Adaptive Filters 1.3 2003/07/01 14:03:20 GMT-5 2004-02-16T19:06:02Z Douglas L. Jones dl-jones@uiuc.edu Douglas L. Jones dl-jones@uiuc.edu Kyle Clarkson kclarks@rice.edu 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 Wiener Filters L 2 optimal (FIR) filter design in a statistical context LMS algorithm simplest and by-far-the-most-commonly-used adaptive filter algorithm Stability and performance of the LMS algorithm When and how well it works Applications of adaptive filters Overview of important applications Introduction to advanced adaptive filter algorithms Techniques for special situations or faster convergence