书目名称 | Linear Algebra, Signal Processing, and Wavelets - A Unified Approach | 副标题 | Python Version | 编辑 | Øyvind Ryan | 视频video | | 概述 | Self-contained introduction to signal processing and wavelets assuming only a linear algebra background.Hands-on introduction to important concepts using computational and interactive examples and exe | 丛书名称 | Springer Undergraduate Texts in Mathematics and Technology | 图书封面 |  | 描述 | .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 computation | 出版日期 | Textbook 2019 | 关键词 | Linear Algebra; Wavelets; Discrete Wavelet Transforms; Signal processing; Fast Fourier Transforms; Sampli | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-02940-1 | isbn_ebook | 978-3-030-02940-1Series ISSN 1867-5506 Series E-ISSN 1867-5514 | issn_series | 1867-5506 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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