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

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

Python Version

Øyvind Ryan
73,95 €
+ 147 points
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Description

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.

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Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
364
Langue:
Anglais
Collection :

Caractéristiques

EAN:
9783030029395
Date de parution :
08-03-19
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
178 mm x 254 mm
Poids :
898 g

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