Oyvind Ryan
Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: Python Version
Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: Python Version
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Excellent- More about Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: Python Version
This book provides a comprehensive introduction to applied and computational harmonic analysis, Fourier analysis, signal processing, and wavelets, suitable for undergraduate and graduate courses. It assumes a basic background in linear algebra and demonstrates the benefits of linear algebra in signal processing. The book offers two versions: one based on MATLAB and one on Python, with interactive code and computational exercises. The applications primarily involve sound and images.
Format: Hardback
Length: 364 pages
Publication date: 08 March 2019
Publisher: Springer Nature Switzerland AG
This comprehensive and user-friendly book provides a thorough introduction to applied and computational harmonic analysis, encompassing Fourier analysis, signal processing, and wavelets. Its innovative approach makes it suitable for undergraduate courses, particularly after a foundational course in linear algebra, and also for graduate-level courses. The book's benefits extend to individuals with a basic background in linear algebra, as it defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. Additionally, the book demonstrates why linear algebra is often the preferred choice for signal processing tasks.
For those with a background in signal processing, the book offers an insightful introduction to linear algebra, although a full course is recommended for a comprehensive understanding. The book is available in two versions: one based on MATLAB and another on Python, showcasing the feasibility and applications of both approaches. The majority of the code is provided interactively, allowing for hands-on learning. The applications primarily focus on sound and images, making the book relevant in various fields. Furthermore, the book includes a substantial set of exercises, many of which are computational in nature, aiding in the development of practical skills.
In summary, this book serves as an invaluable resource for students, researchers, and practitioners seeking to gain a deep understanding of applied and computational harmonic analysis. Its comprehensive coverage, innovative approach, and practical applications make it an essential tool for anyone interested in this field.
Weight: 910g
Dimension: 183 x 260 x 30 (mm)
ISBN-13: 9783030029395
Edition number: 1st ed. 2019
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