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  2. Regning og matematisk analyse
  3. Funktionsanalyse og transformation

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

- Python Version
Af: Øyvind Ryan Engelsk Hardback

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

- Python Version
Af: Øyvind Ryan Engelsk Hardback
Tjek vores konkurrenters priser

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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Fragt: 39 kr
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Tjek vores konkurrenters priser

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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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 364
ISBN-13: 9783030029395
Indbinding: Hardback
Udgave:
ISBN-10: 3030029395
Kategori: Funktionsanalyse og transformation
Udg. Dato: 8 mar 2019
Længde: 30mm
Bredde: 260mm
Højde: 183mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 8 mar 2019
Forfatter(e): Øyvind Ryan
Forfatter(e) Øyvind Ryan

Kategori Funktionsanalyse og transformation

ISBN-13 9783030029395

Sprog Engelsk

Indbinding Hardback

Sider 364

Udgave

Længde 30mm

Bredde 260mm

Højde 183mm

Udg. Dato 8 mar 2019

Oplagsdato 8 mar 2019

Forlag Springer Nature Switzerland AG

Kategori sammenhænge