LEADER 01225nam0-2200421---450- 001 990000341990203316 005 1997010908490297 010 $a88-14-08366-5 035 $a0034199 035 $aUSA010034199 035 $a(ALEPH)000034199USA01 035 $a0034199 100 $a19970422d2000 |||y0itay0103 ba 101 $aita 102 $aIT 105 $a00||| 200 1 $aFormulario del giudice di pace$fMario Remus 205 $a3. ed 210 $aMilano$cA. Giuffrè$d2000$e1 CD-Rom 215 $aIX, 389 p.$d20 cm 225 2 $a<> giudice di pace 410 0$12001$a<> giudice di pace 606 $aDiritto processuale civile$xFormulari 606 $aGiudice di pace 676 $a347.45050269 700 1$aREMUS,$bMario$0234249 801 0$aIT$bBNI$c19970422$gRICA 912 $a990000341990203316 951 $aCOLL. PDE 8$b28223 G.$cCOLL. PDE$d00070302 959 $aBK 969 $aGIU 979 $aTAMI$b40$c20010216$lUSA01$h1103 979 $aTAMI$b40$c20010216$lUSA01$h1106 979 $aTAMI$b40$c20010219$lUSA01$h1201 979 $c20020403$lUSA01$h1642 979 $aPATRY$b90$c20040406$lUSA01$h1624 996 $aFormulario del giudice di pace$9625869 997 $aUNISA LEADER 00679nam a2200181-- 4500 001 991004385137407536 005 20250617131818.0 008 030601s1920 it er 001 f ita d 040 $aBibl. Dip.le Aggr. Scienze Giuridiche - Sez. Studi Giuridici$bita$cSocioculturale Scs 082 04$a853.912$223 100 1 $aBrunati, Giuseppe$d<1881-1949>$0617432 245 12$aL'oriente veneziano :$bpreceduto da un elogio anarchico alla nascente aristocrazia /$cGiuseppe Brunati 250 $a3. ed. 260 $aMilano :$bCasa editrice Italia,$cc1920$g(stampa 1921) 300 $aXVI, 305 p. ;$c20 cm 912 $a991004385137407536 996 $aOriente veneziano$91085646 997 $aUNISALENTO LEADER 05365nam 22006734a 450 001 9910953515203321 005 20250820032755.0 010 $a1-280-96126-0 010 $a9786610961269 010 $a0-08-047042-4 035 $a(CKB)1000000000364543 035 $a(EBL)286732 035 $a(OCoLC)469400001 035 $a(SSID)ssj0000227861 035 $a(PQKBManifestationID)11174893 035 $a(PQKBTitleCode)TC0000227861 035 $a(PQKBWorkID)10270047 035 $a(PQKB)10190276 035 $a(MiAaPQ)EBC286732 035 $a(Au-PeEL)EBL286732 035 $a(CaPaEBR)ebr10167040 035 $a(CaONFJC)MIL96126 035 $a(EXLCZ)991000000000364543 100 $a20040430d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProbability and random processes $ewith applications to signal processing and communications /$fScott L. Miller, Donald Childers 205 $a1st ed. 210 $aAmsterdam ;$aBoston $cElsevier Academic Press$dc2004 215 $a1 online resource (551 p.) 300 $aIncludes index. 311 08$a1-4933-0026-1 311 08$a0-12-172651-7 327 $aFront Cover; Probability and Random Processes; Copyright Page; Contents; Preface; Chapter 1. Introduction; 1.1 A Speech Recognition System; 1.2 A Radar System; 1.3 A Communication Network; Chapter 2. Introduction to Probability Theory; 2.1 Experiments, Sample Spaces, and Events; 2.2 Axioms of Probability; 2.3 Assigning Probabilities; 2.4 Joint and Conditional Probabilities; 2.5 Bayes's Theorem; 2.6 Independence; 2.7 Discrete Random Variables; 2.8 Engineering Application: An Optical Communication System; Chapter 3. Random Variables, Distributions, and Density Functions 327 $a3.1 The Cumulative Distribution Function3.2 The Probability Density Function; 3.3 The Gaussian Random Variable; 3.4 Other Important Random Variables; 3.5 Conditional Distribution and Density Functions; 3.6 Engineering Application: Reliability and Failure Rates; Chapter 4. Operations on a Single Random Variable; 4.1 Expected Value of a Random Variable; 4.2 Expected Values of Functions of Random Variables; 4.3 Moments; 4.4 Central Moments; 4.5 Conditional Expected Values; 4.6 Transformations of Random Variables; 4.7 Characteristic Functions; 4.8 Probability Generating Functions 327 $a4.9 Moment Generating Functions4.10 Evaluating Tail Probabilities; 4.11 Engineering Application: Scalar Quantization; 4.12 Engineering Application: Entropy and Source Coding; Chapter 5. Pairs of Random Variables; 5.1 Joint Cumulative Distribution Functions; 5.2 Joint Probability Density Functions; 5.3 Joint Probability Mass Functions; 5.4 Conditional Distribution, Density, and Mass Functions; 5.5 Expected Values Involving Pairs of Random Variables; 5.6 Independent Random Variables; 5.7 Jointly Gaussian Random Variables; 5.8 Joint Characteristic and Related Functions 327 $a5.9 Transformations of Pairs of Random Variables5.10 Complex Random Variables; 5.11 Engineering Application: Mutual Information, Channel Capacity, and Channel Coding; Chapter 6. Multiple Random Variables; 6.1 Joint and Conditional PMFs, CDFs, and PDFs; 6.2 Expectations Involving Multiple Random Variables; 6.3 Gaussian Random Variables in Multiple Dimensions; 6.4 Transformations Involving Multiple Random Variables; 6.5 Engineering Application: Linear Prediction of Speech; Chapter 7. Random Sequences and Series; 7.1 Independent and Identically Distributed Random Variables 327 $a7.2 Convergence Modes of Random Sequences7.3 The Law of Large Numbers; 7.4 The Central Limit Theorem; 7.5 Confidence Intervals; 7.6 Random Sums of Random Variables; 7.7 Engineering Application: A Radar System; Chapter 8. Random Processes; 8.1 Definition and Classification of Processes; 8.2 Mathematical Tools for Studying Random Processes; 8.3 Stationary and Ergodic Random Processes; 8.4 Properties of the Autocorrelation Function; 8.5 Gaussian Random Processes; 8.6 Poisson Processes; 8.7 Engineering Application: Shot Noise in a p-n Junction Diode; Chapter 9. Markov Processes 327 $a9.1 Definition and Examples of Markov Processes 330 $aMiller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband random processes and simulation techniques. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Probability and Random Processes also includes applications in digital communicat 606 $aSignal processing$xMathematics 606 $aProbabilities 606 $aStochastic processes 615 0$aSignal processing$xMathematics. 615 0$aProbabilities. 615 0$aStochastic processes. 676 $a621.382/2/0151 700 $aMiller$b Scott L$0223807 701 $aChilders$b Donald G$01797933 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910953515203321 996 $aProbability and random processes$94340478 997 $aUNINA