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010   $a981-15-6280-6
024 7 $a10.1007/978-981-15-6280-8
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035   $a(DE-He213)978-981-15-6280-8
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035   $a(PPN)269146946
035   $a(EXLCZ)994100000011392574
100   $a20200821d2020      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aStatistical Signal Processing$b[electronic resource] $eFrequency Estimation /$fby Swagata Nandi, Debasis Kundu
205   $a2nd ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (XXIII, 265 p. 53 illus., 22 illus. in color.) 
311   $a981-15-6279-2 
327   $aIntroduction -- Preliminaries -- Methods of Estimation - Iterative -- Methods of Estimation - Non-iterative -- Asymptotic Results (of Sinusoidal model) -- Order estimation -- Fundamental Frequency Model and its generalization -- Data Analysis -- Two dimensional and multidimensional models -- Chirp Signal Model -- Random Amplitudes -- Related Models -- Appendices.
330   $aThis book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved. Signal processing can broadly be considered to be the recovery of information from physical observations. The received signals are usually disturbed by thermal, electrical, atmospheric or intentional interferences, and due to their random nature, statistical techniques play an important role in their analysis. Statistics is also used in the formulation of appropriate models to describe the behavior of systems, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Analyzing different real-world data sets to illustrate how different models can be used in practice, and highlighting open problems for future research, the book is a valuable resource for senior undergraduate and graduate students specializing in mathematics or statistics.
606   $aStatistics 
606   $aAlgorithms
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008
606   $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020
606   $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
615  0$aStatistics .
615  0$aAlgorithms.
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615 14$aStatistics and Computing/Statistics Programs.
615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
615 24$aAlgorithms.
615 24$aMathematical and Computational Engineering.
676   $a621.3822
700   $aNandi$b Swagata$4aut$4http://id.loc.gov/vocabulary/relators/aut$0922650
702   $aKundu$b Debasis$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910484413603321
996   $aStatistical Signal Processing$92070422
997   $aUNINA