For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks fr[...]
Provides a treatment of continuous time and discrete time forms of signals and systems intended to reflect their roles in engineering practice.[...]
@lt;p@gt;@lt;I@gt;Adaptive Filter Theory, @lt;/I@gt; 4e, is ideal for courses in Adaptive Filters.@lt;/p@gt;@lt;/b@gt;@lt;p@gt;Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fourth edition, this highly[...]