LEADER 01097nam a2200265 i 4500 001 991000266119707536 005 20020509164342.0 008 990210s1989 ne ||| | eng 020 $a9025609597 035 $ab11333674-39ule_inst 035 $aPARLA205037$9ExL 040 $aDip.to Scienze dell'Antichità$bita 100 1 $aMotto, Anna Lydia$0187269 245 10$aSeneca :$ba critical bibliography 1900-1980 :$bscholarship on his life, tought, prose, and influence /$cAnna Lydia Motto, John R. Clark 260 $aAmsterdam :$bHakkert,$c1989 300 $a372 p. ;$c22 cm. 650 4$aSeneca, Lucio Anneo$xBibliografia 700 1 $aClark, John R. 907 $a.b11333674$b02-04-14$c01-07-02 912 $a991000266119707536 945 $aLE007 870.1 Seneca MOT 01.503$g1$i2015000030498$lle007$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i11507111$z01-07-02 945 $aLE007 870.1 Seneca MOT 01.503$g2$i2007000077306$lle007$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i11507123$z01-07-02 996 $aSeneca$9556334 997 $aUNISALENTO 998 $ale007$b01-01-99$cm$da $e-$feng$gne $h0$i2 LEADER 01582nac# 22003011i 450 001 UON00383351 005 20231205104538.317 100 $a20100719a2005 |0itac50 ba 102 $aDE 105 $a|||| ||||| 110 $ab|||||||||| 200 1 $aGuides to the Mesopotamian textual record$fEdited by Eckart Frahm and Michael Jursa 311 $aMES III B 181 N$9UON00382813 311 $aMES III A 098 N$9UON00382814 311 $aMES III A 101 N$9UON00422532 311 $aMES III A 102 N$9UON00456009 463 0$1001UON00382813$12001 $aAkkadian literature of the late period$fBenjamin R. Foster$1210 $aMünster$cUgarit-Verlag$d2007$1215 $aXI, 147 p.$d22 cm$v2 MES III B 181 N 463 0$1001UON00382814$12001 $aˆThe ‰Neo-Babylonian royal inscriptions$eAn introduction$fRocío Da Riva$1210 $aMünster$cUgarit-Verlag$d2008$1215 $aXIV, 162 p.$d24 cm$v4 MES III A 098 N 463 0$1001UON00422532$12001 $aBabylonian and Assyrian text commentaries$eOrigins of interpretation$fEckart Frahm. -Münster$eUgarit Verlag, 2011$1210 $a483 p.$a24 cm$v5 MES III A 101 N 463 0$1001UON00456009$12001 $aHistory of the cuneiform lexical tradition$fNiek Veldhuis$1210 $aMünster$cUgarit Verlag$d2014$1215 $axiv, 524 p.$cill.$d24 cm$v6 MES III A 102 N 620 $aDE$dMünster$3UONL001022 702 1$aFRAHM$bEckart$3UONV095343 702 1$aJURSA$bMichael$3UONV015953 712 $aUgarit-Verlag$3UONV251297$4650 801 $aIT$bSOL$c20240220$gRICA 912 $aUON00383351 996 $aGuides to the Mesopotamian textual record$91847818 997 $aUNIOR LEADER 03750nam 22006135 450 001 996601666103316 005 20240619145138.0 010 $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 $eFrequency Estimation /$fby Swagata Nandi, Debasis Kundu 205 $a2nd ed. 2020. 210 $cSpringer Singapore$d2020 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 $a996601666103316 996 $aStatistical Signal Processing$94165769 997 $aUNISA