Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical
The cytologic method of pathology is now one of the most widely used diagnostic modalities worldwide. This new and practical text in cytopathology is an organ-based guide for professionals in which ma
The National Institute on Aging (NIA) has historically been concerned with the protection of human subjects. In July 1977, the NIA sponsored a meeting to update and supplement guide lines for protect
The book starts with the premise that Africa's economic renewal will require moving beyond the narrow bounds of structural adjustment reform and promoting the greater effectiveness of the region's pub
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This work addresses the topic of optical networks cross-layer design with a focus on physical-layer-impairment-aware design. Contributors captures both the physical-layer-aware network design as well
