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

Autor: ?yvind Ryan

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Legare: Copertă tare

Editura: Springer Nature Switzerland AG

Disponibilitate: În depozitul extern

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405.51 lei

This book offers a user friendly, hands-on, and systematic introduction to applied and computational...

Informații despre carte

Autor

?yvind Ryan

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2019

Pagini

364

EAN

9783030029395

ISBN

9783030029395

Enbook ID

20306772

Editura

Springer Nature Switzerland AG

Greutate

910

Dimensiuni

260 x 183 x 30

Descriere completă

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 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.

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

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