Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: MATLAB Version
Springer International Publishing, 2019
ISBN: 9783030018115;
Language: English
Linear Algebra, Signal Processing, and Wavelets - A Unified Approach 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 book can be used in undergraduate courses, such as 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.
This book version is based on MATLAB and 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. MATLAB examples are used in a chapter on Digital Images.
The MATLAB code used in the book is available for download.
