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Digital Image and Signal Processing for Measurement Systems
Digital Image and Signal Processing for Measurement Systems provides an overview of advanced digital image and signal processing techniques that are currently being applied in the realm of measurement systems. This book is a selection of extended versions of the best papers related to this topic presented at the Sixth IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2011. It encompass applications that go from multidimensional imaging to evoked potential detection in brain computer interfaces.
The text concentrates on signal processing for measurement systems. Its objective is to provide a general overview of the area and an appropriate introduction to the topics considered. This is achieved through 10 chapters devoted to current topics of research addressed by different research groups within this area. These chapters reflect advancements corresponding to signals of different dimensionality. They go from mostly one dimensional signals in what would be the most traditional area of signal processing realm to RGB signals and to signals of very high dimensionality such as hyperspectral signals that can go up to dimensionalities of more than one thousand.
The chapters had been thought out to provide an easy-to-follow introduction to the addressed topics, including the most relevant references, so that anyone interested in this field can get started. They provide an overview of some of the problems encountered in the area of signal and image processing for measurement systems and the approaches and techniques that relevant research groups are employing in attempts to solve them.