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Titlebook: Principles and Applications of RELAX: A Robust and Universal Estimator; Renbiao Wu,Qiongqiong Jia,Qing Feng Book 2019 Science Press, Beiji

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書(shū)目名稱Principles and Applications of RELAX: A Robust and Universal Estimator
編輯Renbiao Wu,Qiongqiong Jia,Qing Feng
視頻videohttp://file.papertrans.cn/756/755328/755328.mp4
概述Introduces the principles and applications of relaxation estimation methods for the first time.Provides a unified solution based on simple FFT calculations for classical high-resolution parameter esti
圖書(shū)封面Titlebook: Principles and Applications of RELAX: A Robust and Universal Estimator;  Renbiao Wu,Qiongqiong Jia,Qing Feng Book 2019 Science Press, Beiji
描述The multiple signal demixing and parameter estimation problems that result from the impacts of background noise and interference are issues that are frequently encountered in the fields of radar, sonar, communications, and navigation. Research in the signal processing and control fields has always focused on improving the estimation performance of parameter estimation methods at low SNR and maintaining the robustness of estimations in the presence of model errors. This book presents a universal and robust relaxation estimation method (RELAX), and introduces its basic principles and applications in the fields of classical line spectrum estimation, time of delay estimation, DOA estimation, and radar target imaging. This information is explained comprehensively and in great detail, and uses metaphors pertaining to romantic relationships to visualize the basic problems of parameter estimation, the basic principles of the five types of classical parameter estimation methods, and the relationships between these principles. The book serves as a reference for scientists and technologists in the fields of signal processing and control, while also providing relevant information for graduate
出版日期Book 2019
關(guān)鍵詞Parameter Estimation; Spectral Analysis; Time Delay Estimation; Direction Of Arrival (DOA) Estimation; R
版次1
doihttps://doi.org/10.1007/978-981-13-6932-2
isbn_ebook978-981-13-6932-2
copyrightScience Press, Beijing and Springer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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