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020 _a9789811369322
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024 7 _a10.1007/978-981-13-6932-2
_2doi
050 4 _aTK5102.9
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072 7 _aUYS
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072 7 _aTEC008000
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082 0 4 _a621.382
_223
100 1 _aWu, Renbiao.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_939865
245 1 0 _aPrinciples and Applications of RELAX: A Robust and Universal Estimator
_h[electronic resource] /
_cby Renbiao Wu, Qiongqiong Jia, Lei Yang, Qing Feng.
250 _a1st ed. 2019.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2019.
300 _aXVI, 302 p. 90 illus., 6 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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_2rda
505 0 _aBasic Principles of Parameter Estimation -- Basic Principles of GRELAX -- Application of GRELAX in Line Spectrum Estimation -- Application of GRELAX in Time Delay Estimation -- Application of GRELAX in DOA Estimation -- Application of GRELAX in Radar Target Imaging -- Other Typical Applications of GRELAX.
520 _aThe 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 students in the related fields.
650 0 _aSignal processing.
_94052
650 0 _aControl engineering.
_931970
650 0 _aTelecommunication.
_910437
650 0 _aMathematical models.
_94632
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aControl and Systems Theory.
_931972
650 2 4 _aMicrowaves, RF Engineering and Optical Communications.
_931630
650 2 4 _aMathematical Modeling and Industrial Mathematics.
_933097
700 1 _aJia, Qiongqiong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_939866
700 1 _aYang, Lei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_939867
700 1 _aFeng, Qing.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_939868
710 2 _aSpringerLink (Online service)
_939869
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811369315
776 0 8 _iPrinted edition:
_z9789811369339
776 0 8 _iPrinted edition:
_z9789811369346
856 4 0 _uhttps://doi.org/10.1007/978-981-13-6932-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
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