- Main
- Mathematics
- Linear Algebra, Signal Processing, and...
Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: Python Version
Øyvind RyanThis 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.
- Memuat turun
- pdf 14.27 MB Current page
- Checking other formats...
- Menukar menjadi
- Unlock conversion of files larger than 8 MBPremium
Dalam masa 1-5 minit fail akan dihantar ke akaun Telegram anda.
Perhatian: Pastikan bahawa anda telah memautkan akaun anda kepada bot Telegram Z-Library.
Dalam masa 1-5 minit fail akan dihantar ke peranti Kindle anda.
Harap maklum: anda perlu mengesahkan setiap buku yang ingin dihantar ke Kindle anda. Semak e-mel anda untuk pasti ada e-mel pengesahan dari Amazon Kindle Support.
- Menghantar ke pembaca elektronik
- Peningkatan had muat turun
- Tukar fail
- Lebih banyak hasil carian
- Faedah lain