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Vector Space Projections: A Numerical Approach to Signal and Image Processing, Neural Nets, and Optics

Product ID : 35667209


Galleon Product ID 35667209
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About Vector Space Projections: A Numerical Approach To

Product Description A guide to the theory and application of methods ofprojections. With the rise of powerful personal computers, methods of vectorspace projections have moved rapidly from the realm of theory intowidespread use. This book reflects the growing interest in theapplication of these methods to problem solving in science andengineering. It brings together material previously scattered indisparate papers, book chapters, and articles, and offers asystematic treatment of vector space projections. Written by two leading authorities in the field, thisself-contained volume provides a tutorial on projection methods andhow to apply them in science and engineering. It details effectiveproblem-solving strategies, and explores key applications incommunication and signal processing, neural networks and patternrecognition, and optics and image processing. This book: * Reviews the fundamentals of vector space theory * Covers principles and applications of vector space projections ingeneral, and projections onto convex sets in particular * Provides real-world examples solvable on PCs and modestworkstations * Features more than 100 illustrations * Includes end-of-chapter exercises and references. This extremely useful reference for practicing engineers,scientists, and educators can also be used for graduate-level studyin science, mathematics, and engineering. Portions of the book havebeen used as material in short courses on applications of vectorspace projections. Review "...a very useful addition among classical signal processingtexts...it can be warmly recommended..." (Analog Dialogue,Vol. 36, No. 5, September-October 2002) From the Publisher This book deals with the theory and applications of a mathematical technique known as "projections onto convex sets" which is used for solving problems in science and engineering. The material applies to all branches of science and engineering. From the Inside Flap A guide to the theory and application of methods of projections. With the rise of powerful personal computers, methods of vector space projections have moved rapidly from the realm of theory into widespread use. This book reflects the growing interest in the application of these methods to problem solving in science and engineering. It brings together material previously scattered in disparate papers, book chapters, and articles, and offers a systematic treatment of vector space projections. Written by two leading authorities in the field, this self-contained volume provides a tutorial on projection methods and how to apply them in science and engineering. It details effective problem-solving strategies, and explores key applications in communication and signal processing, neural networks and pattern recognition, and optics and image processing. This book: Reviews the fundamentals of vector space theory Covers principles and applications of vector space projections in general, and projections onto convex sets in particular Provides real-world examples solvable on PCs and modest workstations Features more than 100 illustrations Includes end-of-chapter exercises and references. This extremely useful reference for practicing engineers, scientists, and educators can also be used for graduate-level study in science, mathematics, and engineering. Portions of the book have been used as material in short courses on applications of vector space projections. From the Back Cover A guide to the theory and application of methods of projections. With the rise of powerful personal computers, methods of vector space projections have moved rapidly from the realm of theory into widespread use. This book reflects the growing interest in the application of these methods to problem solving in science and engineering. It brings together material previously scattered in disparate papers, book chapters, and articles, and offers a systematic treatment of vector space projections. Written by two leading authorities in the fi