Linear Algebra, Signal Processing, and Wavelets - A Unified Approach

Øyvind Ryan

ISBN 10: 3030018113 / ISBN 13: 9783030018115

Published by Springer International Publishing Mrz 2019, 2019

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 388 pp. Englisch.

Seller Inventory # 9783030018115

Bibliographic Details

• Title: Linear Algebra, Signal Processing, and Wavelets - A Unified Approach
• Publisher: Springer International Publishing Mrz 2019
• Publication Date: 2019
• Language: English
• ISBN 10: 3030018113
• ISBN 13: 9783030018115
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 27D millimeters 260 millimeters width by 183 millimeters height by 27 millimeters depth
• Weight: 925 grams

About this title

Synopsis

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.

About the Author

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.