Advances in Heuristic Signal Processing and Applications

  • Amitava Chatterjee
  • Hadi Nobahari
  • Patrick Siarry

Table of contents

  1. Front Matter
    Pages I-XV
  2. Satyabrata Sen, Gongguo Tang, Arye Nehorai
    Pages 35-61
  3. Ilhem Boussaïd, Amitava Chatterjee, Patrick Siarry, Mohamed Ahmed-Nacer
    Pages 79-110
  4. Murat Şamil Aslan, Afşar Saranlı
    Pages 111-143
  5. Bipul Luitel, Ganesh Kumar Venayagamoorthy
    Pages 145-166
  6. Abhronil Sengupta, Tathagata Chakraborti, Amit Konar
    Pages 167-182
  7. Marc Castella, Eric Moreau, Vicente Zarzoso
    Pages 183-217
  8. Hadi Nobahari, Alireza Sharifi, Hamed MohammadKarimi
    Pages 219-241
  9. Shing-Tai Pan, Cheng-Yuan Chang
    Pages 243-261
  10. Saibal Dutta, Amitava Chatterjee, Sugata Munshi
    Pages 263-285
  11. Raphael Soulard, Philippe Carré, Christine Fernandez-Maloigne
    Pages 333-355
  12. Edwige E. Pissaloux, Steve Maybank, Ramiro Velázquez
    Pages 357-380
  13. Back Matter
    Pages 381-387

About this book

Introduction

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal-processing problems.

In this book the contributing authors demonstrate both general-purpose algorithms and those aimed at solving specialized application problems, with a special emphasis on heuristic iterative optimization methods employing modern evolutionary and swarm intelligence based techniques. The applications considered are in domains such as communications engineering, estimation and tracking, digital filter design, wireless sensor networks, bioelectric signal classification, image denoising, and image feature tracking.  

The book presents interesting, state-of-the-art methodologies for solving real-world problems and it is a suitable reference for researchers and engineers in the areas of heuristics and signal processing.

Keywords

Computational intelligence Denoising Filters Heuristics Image Processing Metaheuristics MultioSwarm intelligence Multiobjective optimization Object tracking Optimization Particle swarm optimization (PSO) Radar Sensor networks Signal processing

Editors and affiliations

  • Amitava Chatterjee
    • 1
  • Hadi Nobahari
    • 2
  • Patrick Siarry
    • 3
  1. 1.Electrical Engineering DepartmentJadavpur UniversityKolkataIndia
  2. 2.Dept. of Aerospace EngineeringSharif University of TechnologyTehranIran
  3. 3.Laboratory LiSSiUniversity of Paris 12CréteilFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-37880-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-37879-9
  • Online ISBN 978-3-642-37880-5
  • About this book
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