Synopsis
This text blends the areas of adaptive inverse control and signal processing in a unique way, allowing engineers in both fields to share tools and techniques. Clearly and intuitively written, the book presents theory, but it emphasizes practical applications and common sense understanding. New enhancements to this edition include discussion questions and homework problems for each chapter. Content has been updated to reflect the latest information, and includes case studies, reference algorithms, historical background, and chapter summaries to help make the material clearer. This resource features downloadable answer keys, MATLAB code, and other student/instructor resources.
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About the Author
Bernard Widrow, PhD, has been Professor of Electrical Engineering at Stanford University for forty years. Together with M.E. Hoff, Jr., Dr. Widrow invented the LMS algorithm, which is now the world's most widely used learning algorithm. He is the recipient of numerous industry awards and holds twenty U.S. or foreign patents. Dr. Widrow has published nearly 200 papers, two of which became Citation Classics.
Eugene Walach, PhD, is Director and Senior Researcher of R&D Management at IBM Haifa (Israel) Research Labs. His research areas include industrial vision-based applications, low-level image analysis, and signal processing. He and Dr. Widrow developed their system of adaptive inverse control.
Review
"Clearly and intuitively written, the book illuminates theory with an emphasis on practical applications and commonsense understanding ... .A valuable resource." (Bioautomation Journal, October 2008)
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