Applied Signal and Image Processing: Multidisciplinary Advancements

Applied Signal and Image Processing: Multidisciplinary Advancements

Rami Qahwaji (University of Bradford, UK), Roger Green (University of Warwick, UK) and Evor L. Hines (University of Warwick, UK)
Indexed In: SCOPUS View 1 More Indices
Release Date: March, 2011|Copyright: © 2011 |Pages: 414
DOI: 10.4018/978-1-60960-477-6
ISBN13: 9781609604776|ISBN10: 1609604776|EISBN13: 9781609604783
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Description & Coverage
Description:

Image and signal processing techniques are receiving increasing interest because of their numerous real-world applications. Data is now available in different forms, different wavelengths, and even in different dimensions, creating the need for novel multidisciplinary solutions for automated data processing and analysis.

Applied Signal and Image Processing: Multidisciplinary Advancements highlights the growing multidisciplinary nature of signal and image processing by focusing on emerging applications and recent advances in well-established fields. This book covers state-or-the-art applications in both signal and image processing, which include optical communication and sensing, wireless communication management, face recognition and facial imaging, solar imaging and feature detection, fractal analysis, and video processing.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Automated solar feature detection
  • Blind equalization for broadband access
  • Data broadcast management in wireless communication
  • Facial image processing in computer vision
  • Moving face recognition
  • Novel signal processing algorithms
  • Optical Character Recognition
  • Real-time primary image processing
  • Signal processing for optical wireless communications and sensing
  • Space-time signal processing
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Editor/Author Biographies
Evor L. Hines joined the School of Engineering at Warwick in 1984. He was promoted to Reader in 2005 and to a personal chair in 2009. He obtained his DSc (Warwick) in 2007 and is a Fellow of both the Institute of Engineering and Technology and the Higher Education Academy, in addition to being a Chartered Engineer. His main research interest is concerned with intelligent systems and their applications. Most of the work has focused on artificial neural networks, genetic algorithms, fuzzy logic, neurofuzzy systems and genetic programming. Typical application areas include, inter alia, intelligent sensors such as the electronic nose, medicine, non-destructive testing, computer vision, and telecommunications. He has co-authored in excess of 230 articles and supervised over 30 research students in addition to currently leading the Information and Communication Technologies Research Group in the School of Engineering.
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