Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: Python Version

Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: Python Version

Ryan, Øyvind

Hardcover

Series: Springer Undergraduate Texts in Mathematics and Technology

AlgebraGeneral ComputersGeneral Mathematics

ISBN10: 3030029395
ISBN13: 9783030029395
Publisher: Springer Nature
Published: Mar 8 2019
Pages: 364
Weight: 1.98
Height: 0.88 Width: 7.00 Depth: 10.00
Language: English

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.

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