Издательство Springer, 2011, -269 pp.The IEEE International Symposium on Intelligent Signal Processing (WISP) event series celebrated its 10 years anniversary in 2009. The current volume New Advances in Intelligent Signal Processing contains extended works based on a careful selection of papers presented originally at the jubilee conference.
The importance of linking the scientific communities working in the fields of intelligent systems and signal processing was recognized in the late nineties by the IEEE Instrumentation and Measurement Society. Such facts that complex industrial and engineering systems, especially within the framework of large-scale embedded and real-time systems, confront researchers and engineers with completely new challenges, helped in setting up this new direction of science and research. Furthermore, it turned out that information processing and measurement is much more than originally meant: measurement and signal processing systems are involved in almost all kinds of activities in those fields, where control problems, system identification problems, industrial technologies, etc., are to be solved, i.e., when signals, parameters, or attributes must be measured, monitored, approximated, or estimated.
In a large number of cases, traditional information processing tools and equipment failed to handle the problems. Not only the handling of the previously unseen spatial and temporal complexity became questionable, but also problems had to be addressed such as the interaction and communication of subsystems based on entirely different modeling and information expression methods, the handling of abrupt changes within the environment and/or the processing system, the possible temporal shortage of computational power, and/or loss of some data, the uncertainty and ambiguity of the information, data, and perceptions, and last but not least, the new concepts of optimality and effectiveness.
The solution meant the introduction of new ideas for specifying, designing, implementing, and operating sophisticated signal processing systems. Computational intelligence, i.e., artificial intelligence, soft computing, anytime, and machine intelligence methods became serious candidates for handling many of the theoretical and practical problems, providing a better description, and, in many cases, proved to be the best if not the only alternatives for emphasizing significant aspects of system behavior.
Up until recently, however, these new techniques have not been widely used in the field of signal processing because some of the critical questions related to the design and verification have not been answered properly and because the uncertainty has been maintained in a quite different way as it is in the classical metrology. These initiated the IEEE IM Society, the IEEE Hungary Section, and the European Association for Signal Processing to call to life a new event, hoping that it will become a series of regular meetings attracting more and more scientists and engineers in these hot topics. As result, the biannual symposium was launched in 1999.
Since that, five symposia have served as forum and catalyst of new theoretical and practical achievements in both the intelligent systems and signal processing communities. The continuous interest in WISP events has proved the soundness of the initiative, i.e., to link and counteract the scientific communities working in the fields of intelligent systems and signal processing.
The jubilee sixth IEEE International Symposium on Intelligent Signal Processing (WISP’2009), held in Budapest Hungary, August 26–28, 2009, contained 58 accepted papers out of the 81 submitted, from which 11 have been selected to incorporated in this volume. 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.
Formulation of Fuzzy Random Regression Model.
Evolutionary Multiobjective Neural Network Models Identification: Evolving Task-Optimised Models.
Structural Learning Model of the Neural Network and Its Application to LEDs Signal Retrofit.
Robustness of DNA-Based Clustering.
Advances in Automated Neonatal Seizure Detection.
Design of Fuzzy Relation-Based Image Sharpeners.
Application of Fuzzy Logic and Lukasiewicz Operators for Image Contrast Control.
Low Complexity Situational Models in Image Quality Improvement.
A Flexible Representation and Invertible Transformations for Images on Quantum Computers.
Weakly Supervised Learning: Application to Fish School Recognition.
Intelligent Spaces as Assistive Environments: Visual Fall Detection Using an Evolutive Algorithm.
