Adaptive Filtering Primer with MATLAB (Electrical Engineering Primer) - Softcover

Poularikas, Alexander D.; Ramadan, Zayed M.

Softcover

ISBN 10: 0849370434 ISBN 13: 9780849370434

Verlag: CRC Press, 2006

Inhaltsangabe

Because of the wide use of adaptive filtering in digital signal processing and, because most of the modern electronic devices include some type of an adaptive filter, a text that brings forth the fundamentals of this field was necessary. The material and the principles presented in this book are easily accessible to engineers, scientists, and students who would like to learn the fundamentals of this field and have a background at the bachelor level.

Adaptive Filtering Primer with MATLAB® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm. They also supply many MATLAB® functions and m-files along with computer experiments to illustrate how to apply the concepts to real-world problems. The book includes problems along with hints, suggestions, and solutions for solving them. An appendix on matrix computations completes the self-contained coverage.

With applications across a wide range of areas, including radar, communications, control, medical instrumentation, and seismology, Adaptive Filtering Primer with MATLAB® is an ideal companion for quick reference and a perfect, concise introduction to the field.

Über diesen Titel

Über die Autorin bzw. den Autor

Alexander D. Poularikas, Zayed M. Ramadan

Details zur Ausgabe

• Verlag: CRC Press
• Erscheinungsdatum: 2006
• Sprache: Englisch
• ISBN 10: 0849370434
• ISBN 13: 9780849370434
• Einband: Taschenbuch
• Anzahl der Seiten: 223
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Buchpark GmbH; gpsr@buchpark.de; ; Krügerweg 1; Trebbin; Brandenburg; 14959; Deutschland