Product Information
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.Product Identifiers
PublisherSpringer Nature Switzerland Ag
ISBN-139783030018115
eBay Product ID (ePID)14046485752
Product Key Features
Publication NameLinear Algebra, Signal Processing, and Wavelets-A Unified Approach: Matlab Version
SubjectEngineering & Technology, Computer Science, Mathematics, Physics
Publication Year2019
TypeTextbook
FormatHardcover
LanguageEnglish
AuthorOyvind Ryan
Number of Pages360 Pages
Dimensions
Item Height254 mm
Item Weight950 g
Additional Product Features
Country/Region of ManufactureSwitzerland
Title_AuthorOyvind Ryan
Series TitleSpringer Undergraduate Texts in Mathematics and Technology