Open access peer-reviewed Edited Volume

Adaptive Filtering

Edited by Lino Garcia Morales

Autonomous University of Madrid, Spain

Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate different areas or application fields such as prediction, system identification and modeling, equalization, cancellation of interference, etc., which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. The book consists of noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. Each application is a case study with rigor that shows weakness/strength of the method used, assesses its suitability and suggests new forms and areas of use. The problems are becoming increasingly complex and applications must be adapted to solve them. The adaptive filters have proven to be useful in these environments of multiple input/output, variant-time behaviors, and long and complex transfer functions effectively, but fundamentally they still have to evolve. This book is a demonstration of this and a small illustration of everything that is to come.

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Adaptive FilteringEdited by Lino Garcia Morales

Published: September 6th 2011

DOI: 10.5772/675

ISBN: 978-953-307-158-9

eBook (PDF) ISBN: 978-953-51-6039-7

Copyright year: 2011

Books open for chapter submissions

39809 Total Chapter Downloads

6 Crossref Citations

11 Web of Science Citations

13 Dimensions Citations


Open access peer-reviewed

1. Convergence Evaluation of a Random Step-Size NLMS Adaptive Algorithm in System Identification and Channel Equalization

By Shihab Jimaa


Open access peer-reviewed

2. Steady-State Performance Analyses of Adaptive Filters

By Bin Lin and Rongxi He


Open access peer-reviewed

3. The Ultra High Speed LMS Algorithm Implemented on Parallel Architecture Suitable for Multidimensional Adaptive Filtering

By Marwan Jaber


Open access peer-reviewed

4. An LMS Adaptive Filter Using Distributed Arithmetic - Algorithms and Architectures

By Kyo Takahashi, Naoki Honma and Yoshitaka Tsunekawa


Open access peer-reviewed

5. Adaptive Filtering Using Subband Processing: Application to Background Noise Cancellation

By Ali O. Abid Noor, Salina Abdul Samad and Aini Hussain


Open access peer-reviewed

6. Hirschman Optimal Transform (HOT) DFT Block LMS Algorithm

By Osama Alkhouli, Victor DeBrunner and Joseph Havlicek


Open access peer-reviewed

7. Real-Time Noise Cancelling Approach on Innovations-Based Whitening Application to Adaptive FIR RLS in Beamforming Structure

By Jinsoo Jeong


Open access peer-reviewed

8. Adaptive Fuzzy Neural Filtering for Decision Feedback Equalization and Multi-Antenna Systems

By Yao-Jen Chang and Chia-Lu Ho


Open access peer-reviewed

9. A Stereo Acoustic Echo Canceller Using Cross-Channel Correlation

By Shigenobu Minami


Open access peer-reviewed

10. EEG-fMRI Fusion: Adaptations of the Kalman Filter for Solving a High-Dimensional Spatio-Temporal Inverse Problem

By Thomas Deneux


Open access peer-reviewed

11. Adaptive-FRESH Filtering

By Omar A. Yeste Ojeda and Jesús Grajal


Open access peer-reviewed

12. Transient Analysis of a Combination of Two Adaptive Filters

By Tõnu Trump


Open access peer-reviewed

13. Adaptive Harmonic IIR Notch Filters for Frequency Estimation and Tracking

By Li Tan, Jean Jiang and Liangmo Wang


Open access peer-reviewed

14. Echo Cancellation for Hands-Free Systems

By Artur Ferreira and Paulo Marques


Open access peer-reviewed

15. Adaptive Heterodyne Filters

By Michael A. Soderstrand


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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