An Introduction to Signals and Systems: Applications in Neural Networks

Stuller, John

ISBN 10: 0495073016 / ISBN 13: 9780495073017

Verlag: CL Engineering, 2007

Beschreibung

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Bestandsnummer des Verkäufers 4CNO3J005971

Bibliografische Details

• Titel: An Introduction to Signals and Systems: Applications in Neural Networks
• Verlag: CL Engineering
• Erscheinungsjahr: 2007
• Sprache: Englisch
• ISBN-10: 0495073016
• ISBN-13: 9780495073017
• Einband: Hardcover
• Zustand: VeryGood

Über diesen Titel

Inhaltsangabe

This book provides a concise and clear introduction to signals and systems theory, with emphasis on fundamental analytical and computational techniques. Introduction to Signals and Systems develops continuous-time and discrete-time concepts/methods in separate chapters - highlighting the similarities and differences - and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback. This text is written for introductory courses in continuous-time and/or discrete-time signals and systems for Electrical Engineering students. It is also accessible to a broad range of engineering and science students, as well as valuable to practicing engineers seeking an insightful review.

Críticas

"Dr. Stuller has produced a text which is very readable, and would be excellent for self-study. He clearly appreciates that students at this level can quickly become overwhelmed, confused, and discouraged by the mathematical details, and does everything he can to avoid those pitfalls. Another plus, is his willingness to closely tie concepts in continuous and discrete time together." - University of Missouri-Rolla Review "The writing style, readability, and clarity of presentation in this text are much better than my current one. ...This text uses mathematics to enhance physical and intuitive understanding of concepts instead of employing it only to prove axiomatic theory. Theoretical results are supported by good examples and analogies that allow students to intuitively discover the meaning by themselves." - San Jose State University Review "This is a very complete textbook, covering a great deal of material. I like Stuller's approach and presentation more than the current textbooks." - University of Toronto Review