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Sprache: Englisch
Verlag: Springer International Publishing, 2020
ISBN 10: 3030597881 ISBN 13: 9783030597887
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Sprache: Englisch
Verlag: Springer International Publishing, 2019
ISBN 10: 3030018113 ISBN 13: 9783030018115
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Zustand: New. Self-contained introduction to signal processing and wavelets assuming only a linear algebra backgroundHands-on introduction to important concepts using computational and interactive examples and exercisesStrong.
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In den WarenkorbHardcover. Zustand: Brand New. 284 pages. 9.25x6.10x9.21 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 360 pages. 10.00x7.00x1.00 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 364 pages. 10.25x7.25x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, 2019
ISBN 10: 3030018113 ISBN 13: 9783030018115
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Gebundene Ausgabe. Zustand: Sehr gut. Gebraucht - Sehr gut SG - leichte Beschädigungen oder Verschmutzungen, ungelesenes Mängelexemplar, gestempelt, Versand Büchersendung - 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.
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 feasibilityand applications of both approaches. Most of the 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.