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New Advances in Intelligent Signal Processing

  • António E. Ruano
  • Annamária R. Várkonyi-Kóczy

Part of the Studies in Computational Intelligence book series (SCI, volume 372)

Table of contents

  1. Front Matter
  2. Junzo Watada, Shuming Wang, Witold Pedrycz
    Pages 1-20
  3. Rohani Abu Bakar, Chu Yu-Yi, Junzo Watada
    Pages 75-92
  4. Eoin M. Thomas, Andrey Temko, Gordon Lightbody, William P. Marnane, Geraldine B. Boylan
    Pages 93-113
  5. Angel Barriga, Nashaat Mohamed Hussein Hassan
    Pages 133-154
  6. Annamária R. Várkonyi-Kóczy
    Pages 155-177
  7. Phuc Q. Le, Abdullahi M. Iliyasu, Fangyan Dong, Kaoru Hirota
    Pages 179-202
  8. Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
    Pages 203-223
  9. José María Cañas, Sara Marugán, Marta Marrón, Juan C. García
    Pages 225-247
  10. Back Matter

About this book

Introduction

The current volume “New Advances in Intelligent Signal Processing” contains extended works based on a careful selection of papers presented originally at the jubilee sixth IEEE International Symposium on Intelligent Signal Processing (WISP’2009), held in Budapest Hungary, August 26-28, 2009 - celebrating the 10 years anniversary of the WISP event series.

The present book does not intent to be an overall survey on the fields of interest of the area, but tries to find topics which represent new, hot, and challenging problems.

The book begins with papers investigating selected problems of Modeling, Identification, and Clustering such as  fuzzy random variables, evolutionary multi-objective neural network models, a structural learning model of neural networks within a Boltzmann machine, a robust DNA-based clustering techniques, and the advances of combining multi-criteria analysis of signals and pattern recognition using machine

learning principles. 

In the second part of the book Image Processing is treated. The carefully edited chapters deal with fuzzy relation based image enhancement, image contrast control technique based on the application of Łukasiewicz algebra operators, low complexity situational models of image quality mprovement, flexible representation of map images to quantum computers, and object recognition in images.The last chapter presents an image processing application for elderly care, performing real-time 3D tracking based on a new evolutive multi-modal algorithm.

The present book does not intent to be an overall survey on the fields of interest of the area, but tries to find topics which represent new, hot, and challenging problems.

The book begins with papers investigating selected problems of Modeling, Identification, and Clustering such as  fuzzy random variables, evolutionary multi-objective neural network models, a structural learning model of neural networks within a Boltzmann machine, a robust DNA-based clustering techniques, and the advances of combining multi-criteria analysis of signals and pattern recognition using machine

learning principles. 

In the second part of the book Image Processing is treated. The carefully edited chapters deal with fuzzy relation based image enhancement, image contrast control technique based on the application of Łukasiewicz algebra operators, low complexity situational models of image quality mprovement, flexible representation of map images to quantum computers, and object recognition in images.The last chapter presents an image processing application for elderly care, performing real-time 3D tracking based on a new evolutive multi-modal algorithm.

Keywords

Computational Intelligence Intelligent Signal Processing

Editors and affiliations

  • António E. Ruano
    • 1
  • Annamária R. Várkonyi-Kóczy
    • 2
  1. 1.CSI / Centre for Intelligent SystemsUniversidade do AlgarveFaroPortugal
  2. 2.Dept.of Mechatronics andVehicle EngineeringÓbuda UniversityBudapestHungary

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-11739-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-11738-1
  • Online ISBN 978-3-642-11739-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site