LEADER 03736nam 22006015 450 001 996418260503316 005 20200821180605.0 010 $a981-15-6280-6 024 7 $a10.1007/978-981-15-6280-8 035 $a(CKB)4100000011392574 035 $a(DE-He213)978-981-15-6280-8 035 $a(MiAaPQ)EBC6317287 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 $a996418260503316 996 $aStatistical Signal Processing$92070422 997 $aUNISA LEADER 00869nam0-2200325 --450 001 9910984795003321 005 20250529184255.0 010 $a88-06-16940-8 010 $a978-88-06-20464-8$b2010 020 $aIT$b2005-2449 100 $a20250318d2004----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $a 001yy 200 1 $a<>bisogno di patria$fWalter Barberis 210 $aTorino$cEinaudi$d[2004] 215 $a137 p.$d18 cm 225 1 $aVele$v9 610 0 $aNazione$aConcetto$aItalia 676 $a320.1$v21 700 1$aBarberis,$bWalter$0290624 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910984795003321 952 $a320.1 BARB 01$b2025/572$fFLFBC 952 $aCOLLEZ 2025 (56)$b3262/2018$fFSPBC 959 $aFSPBC 959 $aFLFBC 996 $aBisogno di patria$9229997 997 $aUNINA