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Optical data processing
Our research concerns optical data processing for missile guidance and target recognition. It uses pattern recognition techniques with an increasing use of knowledge base, inference machine and associative processor techniques. Our Year 2 work addresses devices (the liquid crystal television), Kalman filters, intrinsic features, iconic filters, and symbolic processors. These all represent quite novel optical processing concepts. Our work also concerns new architectures and concepts such as: relational graph processors, optical linear discriminant processors, model-based optical processors, hierarchical symbolic optical correlators, and optical associative processors.
Principles of Optical Data Processing for Engineers
This document is written primarily for engineers as a self-teaching text on optical data processing. Fundamentals are reviewed and expanded upon to give a clear understanding and working knowledge of the entire subject, including: optical spectrum analysis, optical correlation, photographic film characteristics, and holography. In addition, this document introduces the use of mathematics to describe the various optical operations, thus forming a background for understanding more advanced works in the field.
Applications of Holography and Optical Data Processing
Applications of Holography and Optical Data Processing contains the proceedings of the International Conference on Applications of Holography and Optical Data Processing, held in Jerusalem in August 1976. The conference is attended by eminent scientists in the field of optics, characterized by high-level scientific presentations and discussions. The collection is a representation of research on the cutting edge of applied and theoretical optics. The four-day meeting covers topics on holographic applications in medicine, interferometry, display, storage, and retrieval, as well as image processing, measuring techniques, spectroscopy, and recording materials and devices. The participants of the conference believe in the promising future of research on Optical Data Processing as long as techniques are complemented by electronic support. The book will be of value to electronics engineers, technicians, computer scientists, and computer engineers.
Optical Data Processing
This research concerns optical data processing for missile guidance and target recognition. It uses pattern recognition techniques with an increased use of knowledge base, inference machine and associative processor techniques. This work concerns new algorithms, real time and practical realizations of such systems, and new initial work on associative processors, symbolic rule-based processors and directed graph processors (with new attention to unique optical realizations of such systems). Keywords: Optical data processing; Pattern recognition; Feature extraction; Associative processors; Symbolic processors; Rule based processors.
Optical Processing and Computing
Optical computing, namely information processing using light waves to represent the data, possesses some inherent advantage over electronic computing, in particular for massive data storage and parallell and neural processing. The main aim of the LS is to show how recent advances in lightwave technology make the time ripe to consider exploiting the potential of optical computing for data procesing applications. The LS will be opened with an overview of the basic concepts and inherent advantages of using optics for data processing and computing applications. The rest of the first day will be devoted to two topics: the use of optics for interconnecting computing devices and systems. The second day of the LS will be opened with an overview of the emerging field of artificial neural networks as a signal processing paradigm, and its hardware, and in particular its optical implementations. Finally, the LS will be concluded with a description of recent developments of optoelectronic data communication, and their forecasted effect on computing and data processing technologies.
