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Titlebook: Introduction to Optimal Estimation; E. W. Kamen,J. K. Su Textbook 1999 Springer-Verlag London 1999 Signal.Software.Theorie.algorithm.devel

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发表于 2025-3-21 16:50:45 | 显示全部楼层 |阅读模式
书目名称Introduction to Optimal Estimation
编辑E. W. Kamen,J. K. Su
视频videohttp://file.papertrans.cn/475/474001/474001.mp4
概述A strong technical reference book for both students and engineers.Authors are well-respected in their field
丛书名称Advanced Textbooks in Control and Signal Processing
图书封面Titlebook: Introduction to Optimal Estimation;  E. W. Kamen,J. K. Su Textbook 1999 Springer-Verlag London 1999 Signal.Software.Theorie.algorithm.devel
描述The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry ofcontrol and signal processing. This preliminary batde between old and new usually takes place at conferences, through the Internet and in the journals of the discipline. After a litde more maturity has been acquiredhas been acquired by the new concepts then archival publication as ascientificorengineering monograph mayoccur. Anewconceptin control and signal processing is known to have arrived when sufficient material has developed for the topic to be taught as a specialised tutorial workshop or as a course to undergraduates, graduates or industrial engineers. The Advanced Textbooks in Control and Signal Processing Series is designed as a vehicle for the systematic presentation ofcourse material for both popular and innovative topics in the discipline. It is hoped that prospective
出版日期Textbook 1999
关键词Signal; Software; Theorie; algorithm; development; model; modeling
版次1
doihttps://doi.org/10.1007/978-1-4471-0417-9
isbn_softcover978-1-85233-133-7
isbn_ebook978-1-4471-0417-9Series ISSN 1439-2232 Series E-ISSN 2510-3814
issn_series 1439-2232
copyrightSpringer-Verlag London 1999
The information of publication is updating

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ore detailed information. The style of the entries is expository and tutorial, making the encyclopedia a practical resource for experts in the field and professionals in other fields..978-3-642-27733-7
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Textbook 1999concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry ofcontrol and signal processing. This preli
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1439-2232 and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative conc
发表于 2025-3-22 22:33:20 | 显示全部楼层
Optimal Estimation, ., and minimum mean-square error criteria. Each leads to a different estimate and a different form for the estimator. The estimators we discuss are typically implemented in digital systems, so we restrict ourselves to discrete-time signals and systems. Finally, we compare and contrast the different approaches.
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Kalman Filter Applications, case of colored (non-white) process noise, the case of correlated process and measurement noises, and the case of colored measurement noise. The target tracking problem is revisited for the case of measurements in polar, rather than Cartesian, form. Finally, we show how the Kaiman filter can be used to estimate the parameters of a LTI system.
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