Chapter 2. Applications

  1. Fredrik Gustafsson

Published Online: 16 OCT 2001

DOI: 10.1002/0470841613.ch2

Adaptive Filtering and Change Detection

Adaptive Filtering and Change Detection

How to Cite

Gustafsson, F. (2001) Applications, in Adaptive Filtering and Change Detection, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/0470841613.ch2

Author Information

  1. Linkoping University, Linkoping, Sweden

Publication History

  1. Published Online: 16 OCT 2001

ISBN Information

Print ISBN: 9780471492870

Online ISBN: 9780470841617



  • data segmentation;
  • change detection;
  • jump Markov model;
  • piecewise linear regression model;
  • Matlab;
  • Matlab toolbox;
  • autotuning;
  • signal processing;
  • adaptive signal processing;
  • adaptive systems;
  • fault diagnosis;
  • monitoring;
  • surveillance;
  • signal detection;
  • decision making;
  • statistics;
  • stochastic processes;
  • modeling;
  • estimation;
  • identification;
  • parameter estimation;
  • state estimation;
  • observers;
  • stochastic systems;
  • time-varying systems;
  • discrete time systems;
  • sampled data systems;
  • filters;
  • communication systems;
  • adaptive control;
  • electrocardiography;
  • pulp and paper industry;
  • electroencephalography;
  • earthquakes;
  • seismology


This chapter provides background information and problem descriptions of the applications treated in this book. Most of the applications include real data and many of them are used as case studies examined throughout the book with different algorithms. This chapter serves both as a reference chapter and as a motivation for the area of adaptive filtering and change detection. The applications are divided here according to the model structures that are used. The real data applications include signals from: airbag, paper refinery, photon emission, econometrics, altitude sensors, EEG from rats and humans, EKG, ash recycling, earthquake and speech data, electronic nose and DC motor. The examples are used as benchmarks throughout the book.