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A Rapid Introduction to Adaptive FilteringIntroduction

A Rapid Introduction to Adaptive Filtering: Introduction [The area of adaptive filtering is a very importantone in the vast field of Signal Processing. Adaptive filters areubiquitous in current technology. System identificaction, equalization for communication systems, active noise cancellation,speech processing, sonar, seismology, beamforming, etc, are a few examples from a large set of applications were adaptive filters are used to solve different kinds of problems. In this chapter we provide a short introduction to the adaptive filtering problem and to the different aspects that should be taken into account when choosing or designing an adaptive filter for a particular application.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

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Publisher
Springer Berlin Heidelberg
Copyright
© The Author(s) 2013
ISBN
978-3-642-30298-5
Pages
1 –5
DOI
10.1007/978-3-642-30299-2_1
Publisher site
See Chapter on Publisher Site

Abstract

[The area of adaptive filtering is a very importantone in the vast field of Signal Processing. Adaptive filters areubiquitous in current technology. System identificaction, equalization for communication systems, active noise cancellation,speech processing, sonar, seismology, beamforming, etc, are a few examples from a large set of applications were adaptive filters are used to solve different kinds of problems. In this chapter we provide a short introduction to the adaptive filtering problem and to the different aspects that should be taken into account when choosing or designing an adaptive filter for a particular application.]

Published: Aug 4, 2012

Keywords: Adaptive Filter; Weight Little Square; Recursive Little Square; Steady State Error; Wiener Filter

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