Computational Intelligence, SS08
2 VO 442.070 + 1 RU 708.070 last updated:
General
Course Notes (Skriptum)
Online Tutorials
Introduction to Matlab
Neural Network Toolbox
OCR with ANNs
Adaptive Filters
VC dimension
Gaussian Statistics
PCA, ICA, Blind Source Separation
Hidden Markov Models
Mixtures of Gaussians
Automatic Speech Recognition
Practical Course Slides
Homework
Exams
Animated Algorithms
Interactive Tests
Key Definitions
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Adaptive Filters

A Tutorial for the Course Computational Intelligence

Abstract

This tutorial introduces the LMS (least mean squares) and the RLS (recursive least-squares) algorithm for the design of adaptive transversal filters. These algorithms are applied for identification of an unknown system.

Usage

To make full use of this tutorial you have to
  1. Download the file AdaptiveFilter.zip which contains this tutorial in printable format (PDF and ps.gz) and the accompanying Matlab program(s).
  2. Unzip AdaptiveFilter.zip which will generate a subdirectory AdaptiveFilter/matlab where you can find the Matlab program(s).
  3. Add the path AdaptiveFilter/matlab to the matlab search path with a command like addpath('C:\Work\AdaptiveFilter\matlab') if you are using a Windows machine or addpath('/home/jack/AdaptiveFilter/matlab') if you are using a Unix/Linux machine.

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