Table Of ContentADAPTIVE FILTERING
APPLICATIONS
Edited by Lino García Morales
Adaptive Filtering Applications
Edited by Lino García Morales
Published by InTech
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Adaptive Filtering Applications, Edited by Lino García Morales
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Contents
Preface IX
Part 1 Noise and Echo Cancellation 1
Chapter 1 Applications of Adaptive Filtering 3
J. Gerardo Avalos, Juan C. Sanchez and Jose Velazquez
Chapter 2 Applications of Adaptive Filtering:
Recent Advancements in Active Noise Control 21
Akhtar Muhammad Tahir,
Mitsuhashi Wataru and Nishihara Akinori
Chapter 3 Active Noise Cancellation:
The Unwanted Signal and the Hybrid Solution 49
Edgar Omar López-Caudana
Chapter 4 Perceptual Echo Control and Delay Estimation 85
Kirill Sakhnov, Ekaterina Verteletskaya and Boris Simak
Part 2 Medical Applications 121
Chapter 5 Adaptive Noise Removal of ECG Signal Based
On Ensemble Empirical Mode Decomposition 123
Zhao Zhidong, Luo Yi and Lu Qing
Chapter 6 Application of Adaptive Noise Cancellation
in Transabdominal Fetal Heart Rate Detection
Using Photoplethysmography 141
Kok Beng Gan, Edmond Zahedi
and Mohd. Alauddin Mohd. Ali
Chapter 7 Adaptive Filtering by Non-Invasive Vital
Signals Monitoring and Diseases Diagnosis 157
Omar Abdallah and Armin Bolz
VI Contents
Chapter 8 Noise Removal from EEG Signals in
Polisomnographic Records Applying Adaptive
Filters in Cascade 173
M. Agustina Garcés Correa and Eric Laciar Leber
Chapter 9 Fast Extraction of Somatosensory Evoked Potential
Based on Robust Adaptive Filtering 197
Yuexian Zou, Yong Hu and Zhiguo Zhang
Part 3 Communication Systems 211
Chapter 10 A LEO Nano-Satellite Mission
for the Detection of Lightning VHF Sferics 213
Ghulam Jaffer, Hans U. Eichelberger,
Konrad Schwingenschuh and Otto Koudelka
Chapter 11 Adaptive MIMO Channel Estimation
Utilizing Modern Channel Codes 239
Patric Beinschob and Udo Zölzer
Chapter 12 An Introduction to ANFIS Based Channel
Equalizers for Mobile Cellular Channels 255
K. C. Raveendranathan
Chapter 13 Adaptive Channel Estimation in Space-Time
Coded MIMO Systems 285
Murilo B. Loiola, Renato R. Lopes and João M. T. Romano
Chapter 14 Adaptive Filtering for Indoor Localization
using ZIGBEE RSSI and LQI Measurement 305
Sharly Joana Halder, Joon-Goo Park and Wooju Kim
Part 4 Other Applications 325
Chapter 15 Adaptive Filters for Processing Water Level Data 327
Natasa Reljin, Dragoljub Pokrajac and Michael Reiter
Chapter 16 Nonlinear Adaptive Filtering
to ForecastAir Pollution 343
Luca Mesin, Fiammetta Orione and Eros Pasero
Chapter 17 A Modified Least Mean Square Method
Applied to Frequency Relaying 365
Daniel Barbosa, Renato Machado Monaro,
Ricardo A. S. Fernandes, Denis V. Coury
and Mário Oleskovicz
Chapter 18 Anti-Multipath Filter with Multiple
Correlators in GNSS Receviers 381
Chung-Liang Chang
Preface
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 (deconvolution, reverse
filtering, inverse modeling), cancellation of interference, etc. which are very important
in many disciplines such as control systems, communications, signal processing,
acoustics, voice, sound and image, etc. This book consists of a compendium of applica‐
tions in three areas of great interest in scientific research: noise and echo cancellation,
medical applications, communications systems and others hardly joined by their het‐
erogeneity. There is no a structure and/or algorithm better than other; It all depends on
the implementation and the performance target. In all these chapters, each application
is a case study with rigor that shows the weakness‐strength of the method used (in
many cases compared with other methods), assesses its suitability and suggests new
forms and areas of use. The problems are becoming increasingly complex and applica‐
tions 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 to be still evolving. There are
many ʺvariablesʺ to take into account and how to combine them, optimize them and
achieve the desired outcome. This book is a demonstration of this and a small illustra‐
tion of everything that is to come.
Dr. Prof. Lino García Morales
Prof. Titular Dpto. Electrónica y Comunicaciones
Coord. Grado en Arte Electrónico y Digital
Escuela Superior Politécnica
Universidad Europea de Madrid
Spain
