Linear Algebra, Signal Processing, and Wavelets - A Unified Approach
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Verkauft von Basi6 International, Irving, TX, USA
AbeBooks-Verkäufer seit 24. Juni 2016
Neu - Hardcover
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenVerkauft von Basi6 International, Irving, TX, USA
AbeBooks-Verkäufer seit 24. Juni 2016
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenNew. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Bestandsnummer des Verkäufers ABEOCT25-14235
This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended.
The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the MATLAB code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.
Øyvind Ryan holds a position as an associate professor at the Department of Mathematics at the University of Oslo. Over several years he has been teaching and writing course material for courses in undergraduate mathematics and signal processing. His research interests are information theory, wavelets, and compressive sensing.
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