書目名稱 | Fourier Transforms, Filtering, Probability and Random Processes | 副標題 | Introduction to Comm | 編輯 | Jerry D. Gibson | 視頻video | http://file.papertrans.cn/348/347264/347264.mp4 | 概述 | Provides developments of Fourier series and other orthogonal series.Presents fundamental Fourier transform properties and example applications.Discusses techniques for the analysis of continuous time | 叢書名稱 | Synthesis Lectures on Communications | 圖書封面 |  | 描述 | .This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems...This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals...This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms...The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domainsampling theorem...The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities | 出版日期 | Textbook 2023 | 關鍵詞 | Communication systems; Fourier series; Periodic signals; Continuous time signals; Frequency domains; Syst | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-19580-8 | isbn_softcover | 978-3-031-19582-2 | isbn_ebook | 978-3-031-19580-8Series ISSN 1932-1244 Series E-ISSN 1932-1708 | issn_series | 1932-1244 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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