Ali H. Sayed, PhD, is a professor of electrical engineering at UCLA, where he established and directs the adaptive systems laboratory. He is a Fellow of the IEEE for his contributions to adaptive filtering and estimation algorithms.
Fundamentals of adaptive filtering
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- Nombre de pages1125
- PrésentationRelié
- Poids2.465 kg
- Dimensions20,9 cm × 26,2 cm × 5,9 cm
- ISBN0-471-46126-1
- EAN9780471461265
- Date de parution01/01/2003
- ÉditeurWiley
Résumé
Here is a fresh, broad, and systematic treatment of adaptive filtering, a subject of immense practical and theoretical value. The author illustrates extensive commonalities that exist among different classes of adaptive algorithms and even among different filtering theories. He also provides a uniform treatment of the subject matter, addressing some existing limitations, providing additional insights, and detailing extensions of current theory. The book is designed to be self-contained, with careful attention given to appendices, problems, examples, and a variety of practical computer projects. The bibliography is up-to-date with extensive commentaries on how the contributions relate to each other in time and in context. Each chapter includes concepts that reinforce the principles covered, bibliographic notes for further study, numerous problems that vary in difficulty and applications, computer projects that illustrate real-life applications, and helpful appendices.