• Publications
  • Influence
Neural Networks: A Comprehensive Foundation
TLDR
Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Adaptive Filter Theory
Background and Overview. 1. Stochastic Processes and Models. 2. Wiener Filters. 3. Linear Prediction. 4. Method of Steepest Descent. 5. Least-Mean-Square Adaptive Filters. 6. Normalized
GradientBased Learning Applied to Document Recognition
TLDR
Various methods applied to handwritten character recognition are reviewed and compared and Convolutional Neural Networks, that are specifically designed to deal with the variability of 2D shapes, are shown to outperform all other techniques.
Neural Networks and Learning Machines
TLDR
Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together.
Cognitive radio: brain-empowered wireless communications
  • S. Haykin
  • Computer Science
    IEEE Journal on Selected Areas in Communications
  • 7 February 2005
TLDR
Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Cubature Kalman Filters
TLDR
A third-degree spherical-radial cubature rule is derived that provides a set of cubature points scaling linearly with the state-vector dimension that may provide a systematic solution for high-dimensional nonlinear filtering problems.
Adaptive filter theory (2nd ed.)
Kalman Filtering and Neural Networks
TLDR
This book takes a nontraditional nonlinear approach and reflects the fact that most practical applications are nonlinear.
Communication Systems
This best-selling, easy to read book offers the most complete discussion on the theories and principles behind today's most advanced communications systems. Throughout, Haykin emphasizes the
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