Cognitive Dynamic Systems Perception-action Cycle, Radar and Radio

The principles of cognition are becoming increasingly important in the areas of signal processing, communications and control. In this groundbreaking book, Simon Haykin, a pioneer in the field and an award-winning researcher, educator and author, sets out the fundamental ideas of cognitive dynamic systems. Weaving together the various branches of study involved, he demonstrates the power of cognitive information processing and highlights a range of future research directions. The book begins with a discussion of core topics such as cognition and sensing, dealing, in particular, with the perception-action cycle. Bayesian filtering, machine learning and dynamic programming are then addressed. Building on these foundations, there is detailed coverage of two important practical applications, cognitive radar and cognitive radio. Blending theory and practice, this insightful book is aimed at all graduate students and researchers looking for a thorough grounding in this fascinating field.

1. Introduction; 2. Cognition; 3. Sensing the environment; 4. Bayesian filtering; 5. Learning machines; 6. Dynamic programming; 7. Emergent behaviour of cognitive dynamic systems; 8. Cognitive radar; 9. Cognitive radio; 10. Epilogue.

Simon Haykin is the Director of the Cognitive Systems Laboratory at McMaster University, Canada. He is a pioneer in adaptive signal-processing, theory and applications in radar and communications, areas of research that have occupied much of his professional life. He is a Fellow of the IEEE and the Royal Society of Canada and is the recipient of the Henry Booker Gold Medal from URSI (2002), the Honorary Degree of Doctor of Technical Sciences from ETH Zentrum, Zurich (1999) and many other medals and prizes. In addition to the seminal journal papers 'Cognitive Radio' and 'Cognitive Radar', he has also written or co-written nearly 50 books including a number of best-selling textbooks in the fields of signal processing, communications, and neural networks and learning machines.