| 書目名稱 | Randomness and Elements of Decision Theory Applied to Signals | | 編輯 | Monica Borda,Romulus Terebes,Stefania Barburiceanu | | 視頻video | http://file.papertrans.cn/822/821127/821127.mp4 | | 概述 | Offers an overview on the main modern important topics in Random processes.Applies the Stochastic theory to essential topics in modern Signal Processing.Offers a practical introduction to handle rando | | 圖書封面 |  | | 描述 | .This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal processing like denoising, texture classification, histogram equalization, deep learning, or feature extraction...The book uses MATLAB algorithms to demonstrate the implementation of the theory to real systems. This makes the contents of the book relevant to students and professionals who need a quick introduction but practical introduction how to deal with random signals and processes. | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Random variables; Random prcoesses; Random Signals; Probability distributions; Joint random variables; ps | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-90314-5 | | isbn_softcover | 978-3-030-90316-9 | | isbn_ebook | 978-3-030-90314-5 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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