LEADER 05459nam 2200661Ia 450 001 9910143587603321 005 20170809164643.0 010 $a1-280-83875-2 010 $a9786610838752 010 $a0-470-06049-2 010 $a0-470-06050-6 035 $a(CKB)1000000000357114 035 $a(EBL)291033 035 $a(OCoLC)319546537 035 $a(SSID)ssj0000263623 035 $a(PQKBManifestationID)11207837 035 $a(PQKBTitleCode)TC0000263623 035 $a(PQKBWorkID)10274556 035 $a(PQKB)10295145 035 $a(MiAaPQ)EBC291033 035 $a(EXLCZ)991000000000357114 100 $a20060526d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aUltra wideband signals and systems in communication engineering$b[electronic resource] /$fM. Ghavami, L. B. Michael, R. Kohno 205 $a2nd ed. 210 $aChichester, England ;$aHoboken, NJ $cJohn Wiley$dc2007 215 $a1 online resource (336 p.) 300 $aPrevious ed.: 2004. 311 $a0-470-02763-0 320 $aIncludes bibliographical references (p. [287]-296) and index. 327 $aUltra Wideband Signals and Systems in Communication Engineering; Contents; Preface; Acknowledgments; List of Figures; List of Tables; Introduction; I.1 Ultra wideband overview; I.2 A note on terminology; I.3 Historical development of UWB; I.4 UWB regulation overview; I.4.1 Basic definitions and rules; I.5 Key benefits of UWB; I.6 UWB and Shannon's theory; I.7 Challenges for UWB; I.8 Summary; 1 Basic properties of UWB signals and systems; 1.1 Introduction; 1.2 Power spectral density; 1.3 Pulse shape; 1.4 Pulse trains; 1.5 Spectral masks; 1.6 Multipath; 1.7 Penetration characteristics 327 $a1.8 Spatial and spectral capacities1.9 Speed of data transmission; 1.10 Cost; 1.11 Size; 1.12 Power consumption; 1.13 Summary; 2 Generation of UWB waveforms; 2.1 Introduction; 2.1.1 Damped sine waves; 2.2 Gaussian waveforms; 2.3 Designing waveforms for specific spectral masks; 2.3.1 Introduction; 2.3.2 Multiband modulation; 2.4 Practical constraints and effects of imperfections; 2.5 Summary; 3 Signal-processing techniques for UWB systems; 3.1 The effects of a lossy medium on a UWB transmitted signal; 3.2 Time domain analysis; 3.2.1 Classification of signals; 3.2.2 Some useful functions 327 $a3.2.3 Some useful operations3.2.4 Classification of systems; 3.2.5 Impulse response; 3.2.6 Distortionless transmission; 3.3 Frequency domain techniques; 3.3.1 Fourier transforms; 3.3.2 Frequency response approaches; 3.3.3 Transfer function; 3.3.4 Laplace transform; 3.3.5 z-transform; 3.3.6 The relationship between the Laplace transform, the Fourier transform, and the z-transform; 3.4 UWB signal-processing issues and algorithms; 3.5 Detection and amplification; 3.6 Summary; 4 UWB channel modeling; 4.1 A simplified UWB multipath channel model; 4.1.1 Number of resolvable multipath components 327 $a4.1.2 Multipath delay spread4.1.3 Multipath intensity profile; 4.1.4 Multipath amplitude-fading distribution; 4.1.5 Multipath arrival times; 4.2 Path loss model; 4.2.1 Free space loss; 4.2.2 Refraction; 4.2.3 Reflection; 4.2.4 Diffraction; 4.2.5 Wave clutter; 4.2.6 Aperture-medium coupling loss; 4.2.7 Absorption; 4.2.8 Example of free space path loss model; 4.3 Two-ray UWB propagation model; 4.3.1 Two-ray path loss; 4.3.2 Two-ray path loss model; 4.3.3 Impact of path loss frequency selectivity on UWB transmission; 4.4 Frequency domain autoregressive model; 4.4.1 Poles of the AR model 327 $a4.5 IEEE proposals for UWB channel models4.5.1 An analytical description of the IEEE UWB indoor channel model; 4.6 Summary; 5 UWB communications; 5.1 Introduction; 5.2 UWB modulation methods; 5.2.1 PPM; 5.2.2 BPM; 5.3 Other modulation methods; 5.3.1 OPM; 5.3.2 PAM; 5.3.3 OOK; 5.3.4 Summary of UWB modulation methods; 5.4 Pulse trains; 5.4.1 Gaussian pulse train; 5.4.2 PN channel coding; 5.4.3 Time-hopping PPM UWB system; 5.5 UWB transmitter; 5.6 UWB receiver; 5.6.1 Detection; 5.6.2 Pulse integration; 5.6.3 Tracking; 5.6.4 Rake receivers; 5.7 Multiple access techniques in UWB 327 $a5.7.1 Frequency division multiple access UWB 330 $aThe thoroughly revised and updated second edition of Ultra Wideband Signals and Systems in Communication Engineering features new standards, developments and applications. It addresses not only recent developments in UWB communication systems, but also related IEEE standards such as IEEE 802.15 wireless personal area network (WPAN). Examples and problems are included in each chapter to aid understanding. Enhanced with new chapters and several sections including Standardization, advanced topics in UWB Communications and more applications, this book is essential reading for senior unde 606 $aBroadband communication systems 606 $aUltra-wideband devices 608 $aElectronic books. 615 0$aBroadband communication systems. 615 0$aUltra-wideband devices. 676 $a621.382 676 $a621.3821 700 $aGhavami$b M$0892233 701 $aMichael$b L. B$0892234 701 $aKohno$b R$0892235 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143587603321 996 $aUltra-wideband signals and systems in communication engineering$91992413 997 $aUNINA LEADER 00905nam a2200265 i 4500 001 991002953069707536 005 20021022144305.0 008 960610s1946 fr ||| | fre 035 $ab11733305-39ule_inst 035 $aLE021FD223464$9ExL 040 $aDip. SSSC$bita 100 1 $aEpstein, Jean$0529577 245 12$aL'intelligence d'une machine /$cJean Epstein 250 $a3. ed 260 $aParis :$bEditions Jacques Melot,$c1946 300 $a195 p. ;$c23 cm. 440 4$aLes classiques du cinema 650 4$aFrancia$xCinema 650 4$aTeorie sul cinema 907 $a.b11733305$b21-09-06$c24-10-02 912 $a991002953069707536 945 $aLE021FD C28D47$g1$iLE021FD-1906$lle023$nFondo D'Amico$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i11973225$z24-10-02 996 $aIntelligence d'une machine$9902936 997 $aUNISALENTO 998 $ale021$b10-06-96$cm$da $e-$ffre$gfr $h2$i1 LEADER 04945nam 2200625 450 001 9910818395603321 005 20200520144314.0 010 $a1-119-34731-9 010 $a1-119-34744-0 010 $a1-119-34745-9 035 $a(CKB)3710000000840954 035 $a(EBL)4658585 035 $a(Au-PeEL)EBL4658585 035 $a(CaPaEBR)ebr11251742 035 $a(CaONFJC)MIL950696 035 $a(PPN)203990250 035 $a(OCoLC)957655787 035 $a(CaSebORM)9781848219922 035 $a(MiAaPQ)EBC4658585 035 $a(EXLCZ)993710000000840954 100 $a20160916d2016 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBenefits of Bayesian network models /$fPhilippe Weber, Christophe Simon 210 1$aHoboken, NJ :$cWiley,$d2016. 215 $a1 online resource (151 p.) 225 0 $aSystems dependability assessment set ;$vvolume 2 300 $aDescription based upon print version of record. 311 $a1-84821-992-X 320 $aIncludes bibliographical references and index. 327 $aCover ; Title Page ; Copyright ; Contents; Foreword by J.-F. Aubry; Foreword by L. Portinale; Acknowledgments; Introduction; I.1. Problem statement; I.2. Book structure; PART 1. Bayesian Networks; 1. Bayesian Networks: a Modeling Formalism for System Dependability; 1.1. Probabilistic graphical models: BN; 1.1.1. BN: a formalism to model dependability; 1.1.2. Inference mechanism; 1.2. Reliability and joint probability distributions; 1.2.1. Multi-state system example; 1.2.2. Joint distribution; 1.2.3. Reliability computing; 1.2.4. Factorization; 1.3. Discussion and conclusion 327 $a2. Bayesian Network: Modeling Formalism of the Structure Function of Boolean Systems2.1. Introduction; 2.2. BN models in the Boolean case; 2.2.1. BN model from cut-sets; 2.2.2. BN model from tie-sets; 2.2.3. BN model from a top-down approach; 2.2.4. BN model of a bowtie; 2.3. Standard Boolean gates CPT; 2.4. Non-deterministic CPT; 2.5. Industrial applications; 2.6. Conclusion; 3. Bayesian Network: Modeling Formalism of the Structure Function of Multi-State Systems; 3.1. Introduction; 3.2. BN models in the multi-state case; 3.2.1. BN model of multi-state systems from tie-sets 327 $a3.2.2. BN model of multi-state systems from cut-sets3.2.3. BN model of multi-state systems from functional and dysfunctional analysis; 3.3. Non-deterministic CPT; 3.4. Industrial applications; 3.5. Conclusion; PART 2. Dynamic Bayesian Networks; 4. Dynamic Bayesian Networks: Integrating Environmental and Operating Constraints in Reliability Computation; 4.1. Introduction; 4.2. Component modeled by a DBN; 4.2.1. DBN model of a MC; 4.2.2. DBN model of non-homogeneous MC; 4.2.3. Stochastic process with exogenous constraint; 4.3. Model of a dynamic multi-state system 327 $a4.4. Discussion on dependent processes4.5. Conclusion; 5. Dynamic Bayesian Networks: Integrating Reliability Computation in the Control System; 5.1. Introduction; 5.2. Integrating reliability information into the control; 5.3. Control integrating reliability modeled by DBN; 5.3.1. Modeling and controlling an over-actuated system; 5.3.2. Integrating reliability; 5.4. Application to a drinking water network; 5.4.1. DBN modeling; 5.4.2. Results and discussion; 5.5. Conclusion; 5.6. Acknowledgments; Conclusion; Modeling the functional consequences of failures from structured knowledge 327 $aDynamic modeling system reliability based on the reliability of components from the environmentSynthesis of the control law with the aim of optimizing system reliability based on its sensitivity to actuator failures; Bibliography; Index; Other titles from iSTE in Systems and Industrial Engineering - Robotics; EULA 330 $aThis book explains the principles of knowledge structuration to ensure a valid BN and DBN model and illustrate the flexibility and efficiency of these representations in dependability, risk analysis and control of multi-state systems and dynamic systems. Across five chapters, the authors present several modeling methods and industrial applications are referenced for illustration in real industrial contexts.--$cSource other than Library of Congress. 606 $aUncertainty (Information theory)$xMathematical models 606 $aBayesian statistical decision theory 606 $aComputer software$xDevelopment 615 0$aUncertainty (Information theory)$xMathematical models. 615 0$aBayesian statistical decision theory. 615 0$aComputer software$xDevelopment. 676 $a519.5/42 700 $aWeber$b Philippe$0273550 702 $aSimon$b Christophe 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910818395603321 996 $aBenefits of Bayesian network models$93967950 997 $aUNINA