Documents disponibles chez cet éditeur

Markov Chain Monte Carlo in Practice / W.R. Gilks

Public ISBD Titre : Markov Chain Monte Carlo in Practice Type de document : texte imprimé Auteurs : W.R. Gilks, Auteur ; S. Richardson, Auteur ; D.J. Spiegelhalter, Auteur Editeur : Boca Raton, London, New York : Chapman & hALL/CRC Année de publication : 1996 Importance : 486 p. Présentation : couv. ill. en coul., ill. Format : 23,7 cm. ISBN/ISSN/EAN : 978-0-412-05551-5 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : Markov Chain Monte Carlo (MCMC) methods are simulation-based methods which can be used for the analysis of complex statistical models. Although MCMC techniques have been used in statistical physics for many years. Their usefulness for general statistical modelling has only recently been appreciated. The literature on MCMC methodology and its applications is scattered and rapidly expanding this book draws together contributions from authorities in the field and fills the urgent need to communicate the state of the art to a general statistical audience. Emphasis is placed on practice rather than theory. although fundamental theoretical concepts are discussed. The issues covered arise in real application such as archaeology, astronomy, biostatistics, genetics, epidemiology, and image analysis.This introductory-level texts is suitable for applied statisticians, biostatisticians and statistically-oriented epidemiologists and computer scientists. Note de contenu : Contents 1. INTRODUCING MARKOV CHAIN MONTE CARLO 2. HEPATITIS B: A CASE STUDY IN MCMC METHODS 3. MARKOV CHAIN CONCEPTS RELATED TO SAMPLING ALGORITHMS 4. INTRODUCTION TO GENERAL STATE-SPACE MARKOV CHAIN THEORY 5. FULL CONDITIONAL DISTRIBUTIONS 6. STRATEGIES FOR IMPROVING MCMC 7. IMPLEMENTING MCMC 8. INFERENCE AND MONITORING CONVERGENCE 9. MODEL DETERMINATION USING SAMPLING-BASED METHODS 10. HYPOTHESIS TESTING AND MODEL SELECTION 11. MODEL CHECKING AND MODEL IMPROVEMENT 12. STOCHASTIC SEARCH VARIABLE SELECTION 13. BAYESIAN MODEL COMPARISON VIA JUMP DIFFUSIONS 14. ESTIMATION AND OPTIMIZATION OF FUNCTIONS 15. STOCHASTIC EM: METHOD AND APPLICATION 16. GENERALIZED LINEAR MIXED MODELS 17. HIERARCHICAL LONGITUDINAL MODELLING 18. MEDICAL MONITORING 19. MCMC FOR NONLINEAR HIERARCHICAL MODELS 20. BAYESIAN MAPPING OF DISEASE 21. MCMC IN IMAGE ANALYSIS 22. MEASUREMENT ERROR 23. GIBBS SAMPLING METHODS IN GENETICS 24. MIXTURES OF DISTRIBUTIONS: INFERENCE AND ESTIMATION 25. AN ARCHAEOLOGICAL EXAMPLE: RADIOCARBON DATING Index Markov Chain Monte Carlo in Practice [texte imprimé] / W.R. Gilks, Auteur ; S. Richardson, Auteur ; D.J. Spiegelhalter, Auteur . - Boca Raton, London, New York : Chapman & hALL/CRC, 1996 . - 486 p. : couv. ill. en coul., ill. ; 23,7 cm. ISBN : 978-0-412-05551-5 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : Markov Chain Monte Carlo (MCMC) methods are simulation-based methods which can be used for the analysis of complex statistical models. Although MCMC techniques have been used in statistical physics for many years. Their usefulness for general statistical modelling has only recently been appreciated. The literature on MCMC methodology and its applications is scattered and rapidly expanding this book draws together contributions from authorities in the field and fills the urgent need to communicate the state of the art to a general statistical audience. Emphasis is placed on practice rather than theory. although fundamental theoretical concepts are discussed. The issues covered arise in real application such as archaeology, astronomy, biostatistics, genetics, epidemiology, and image analysis.This introductory-level texts is suitable for applied statisticians, biostatisticians and statistically-oriented epidemiologists and computer scientists. Note de contenu : Contents 1. INTRODUCING MARKOV CHAIN MONTE CARLO 2. HEPATITIS B: A CASE STUDY IN MCMC METHODS 3. MARKOV CHAIN CONCEPTS RELATED TO SAMPLING ALGORITHMS 4. INTRODUCTION TO GENERAL STATE-SPACE MARKOV CHAIN THEORY 5. FULL CONDITIONAL DISTRIBUTIONS 6. STRATEGIES FOR IMPROVING MCMC 7. IMPLEMENTING MCMC 8. INFERENCE AND MONITORING CONVERGENCE 9. MODEL DETERMINATION USING SAMPLING-BASED METHODS 10. HYPOTHESIS TESTING AND MODEL SELECTION 11. MODEL CHECKING AND MODEL IMPROVEMENT 12. STOCHASTIC SEARCH VARIABLE SELECTION 13. BAYESIAN MODEL COMPARISON VIA JUMP DIFFUSIONS 14. ESTIMATION AND OPTIMIZATION OF FUNCTIONS 15. STOCHASTIC EM: METHOD AND APPLICATION 16. GENERALIZED LINEAR MIXED MODELS 17. HIERARCHICAL LONGITUDINAL MODELLING 18. MEDICAL MONITORING 19. MCMC FOR NONLINEAR HIERARCHICAL MODELS 20. BAYESIAN MAPPING OF DISEASE 21. MCMC IN IMAGE ANALYSIS 22. MEASUREMENT ERROR 23. GIBBS SAMPLING METHODS IN GENETICS 24. MIXTURES OF DISTRIBUTIONS: INFERENCE AND ESTIMATION 25. AN ARCHAEOLOGICAL EXAMPLE: RADIOCARBON DATING Index

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
2653	25-02-63	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2653
2654	25-02-63	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2654

MATLAB / Bassem R. Mahafza

Public ISBD Titre : MATLAB : simulations for radar systems design Type de document : texte imprimé Auteurs : Bassem R. Mahafza, Auteur ; Atef Z. Elsherbeni, Auteur Editeur : Boca Raton, London, New York : Chapman & hALL/CRC Année de publication : 2004 Importance : 682 p. Présentation : couv. ill. en en coul Format : 24,2 cm. ISBN/ISSN/EAN : 978-1-584-88392-0 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-03 Antennes-radars-sonars Résumé : Simulation is integral to the successful design of modern radar systems, and there is arguably no better software for this purpose than MATLAB. But software and the ability to use it does not guarantee success. One must also: Ö Understand radar operations and design philosophy Ö Know how to select the radar parameters to meet the design requirements Ö Be able to perform detailed trade-off analysis in the context of radar sizing, modes of operation, frequency selection, waveforms, and signal processing Ö Develop loss and error budgets associated with the design MATLAB Simulations for Radar Systems Design teaches all of this and provides the M-files and hands-on simulation experience needed to design and analyze radar systems. Part I forms a comprehensive description of radar systems, their analysis, and the design process. The authors' unique approach involves a design case study introduced in Chapter 1 and followed throughout the text. As the treatment progresses, the complexity increases and the case study requirements are adjusted accordingly. Part II presents a series of chapters-some authored by other experts in the field-on specialized radar topics important to a full understanding of radar systems design and analysis. Note de contenu : Table of contents PART I Chapter 1 Introduction to Radar Basics 1.1. Radar Classifications 1.2. Range 1.3. Range Resolution 1.4. Doppler Frequency 1.5. The Radar Equation 1.5.1. 1.6. Search (Surveillance) 1.6.1. 1.7. Pulse Integration Integration 1.8. Radar Losses 1.9. “MyRadar” Design Case Study - Visit 1 1.10. MATLAB Program and Function Listings Listing Appendix 1A Pulsed Radar Appendix 1B Noise Figure Chapter 2 Radar Detection 2.1. Detection in the Presence of Noise 2.2. Probability of False Alarm 2.3. Probability of Detection 2.4. Pulse Integration 2.5. Detection of Fluctuating Targets 2.6. Probability of Detection Calculation 2.7. The Radar Equation Revisited 2.8. Cumulative Probability of Detection 2.9. Constant False Alarm Rate (CFAR) 2.10. “MyRadar” Design Case Study - Visit 2 2.11. MATLAB Program and Function Listings Chapter 3 Radar Waveforms 3.1. Low Pass, Band Pass Signals and Quadrature Components 3.2. The Analytic Signal 3.3. CW and Pulsed Waveforms 3.4. Linear Frequency Modulation Waveforms 3.5. High Range Resolution 3.6. Stepped Frequency Waveforms 3.7. The Matched Filter 3.8. The Replica 3.9. Matched Filter Response to LFM Waveforms 3.10. Waveform Resolution and Ambiguity 3.11. “Myradar” Design Case Study - Visit 3 3.12. MATLAB Program and Function Listings Listing Chapter 4 The Radar Ambiguity Function 4.1. Introduction 4.2. Examples of the Ambiguity Function 4.3. Ambiguity Diagram Contours 4.4. Digital Coded Waveforms 4.5. “MyRadar” Design Case Study - Visit 4 4.6. MATLAB Program and Function Listings Chapter 5 Pulse Compression 5.1. Time-Bandwidth Product 5.2. Radar Equation with Pulse Compression 5.3. LFM Pulse Compression 5.4. “MyRadar” Design Case Study - Visit 5 5.5. MATLAB Program and Function Listings Chapter 6 Surface and Volume Clutter 6.1. Clutter Definition 6.2. Surface Clutter 6.3. Volume Clutter 6.4. Clutter Statistical Models 6.5. “MyRadar” Design Case Study - Visit 6 6.6. MATLAB Program and Function Listings Chapter 7 Moving Target Indicator (MTI) and Clutter Mitigation 7.1. Clutter Spectrum 7.2. Moving Target Indicator (MTI) 7.3. Single Delay Line Canceler 7.4. Double Delay Line Canceler 7.5. Delay Lines with Feedback (Recursive Filters) 7.6. PRF Staggering 7.7. MTI Improvement Factor 7.8. “MyRadar” Design Case Study 7.9. MATLAB Program and Function Listings Chapter 8 Phased Arrays 8.1. Directivity, Power Gain, and Effective Aperture 8.2. Near and Far Fields 8.3. General Arrays 8.4. Linear Arrays 8.5. Planar Arrays 8.6. Array Scan Loss 8.7. “MyRadar” Design Case Study - Visit 8 8.8. MATLAB Program and Function Listings Chapter 9 Target Tracking Single Target Tracking 9.1. Angle Tracking 9.2. Amplitude Comparison Monopulse 9.3. Phase Comparison Monopulse 9.4. Range Tracking Multiple Target Tracking 9.5. Track-While-Scan (TWS) 9.6. State Variable Representation of an LTI System 9.7. The LTI System of Interest 9.8. Fixed-Gain Tracking Filters 9.9. The Kalman Filter 9.10. “MyRadar” Design Case Study - Visit 9 9.11. MATLAB Program and Function Listings PART II Chapter 10 Electronic Countermeasures (ECM) 10.1. Introduction 10.2. Jammers 10.3. Range Reduction Factor 10.4. Chaff 10.5 MATLAB program and function listings Chapter 11 Radar Cross Section (RCS) 11.1. RCS Definition 11.2. RCS Prediction Methods 11.3. Dependency on Aspect Angle and Frequency 11.4. RCS Dependency on Polarization 11.5 RCS of Simple Objects 11.6. Scattering From a Dielectric-Capped Wedge 11.7. RCS of Complex Objects 11.8. RCS Fluctuations and Statistical Models 11.9. MATLAB Program and Function Listings Chapter 12 High Resolution Tactical Synthetic Aperture Radar (TSAR) 12.1. Introduction 12.2. Side Looking SAR Geometry 12.3. SAR Design Considerations 12.4. SAR Radar Equation 12.5. SAR Signal Processing 12.6. Side Looking SAR Doppler Processing 12.7. SAR Imaging Using Doppler Processing 12.8. Range Walk 12.9. A Three-Dimensional SAR Imaging Technique 12.10. MATLAB Programs and Functions Listing Chapter 13 Signal Processing 13.1. Signal and System Classifications 13.2. The Fourier Transform 13.3. The Fourier Series 13.4. Convolution and Correlation Integrals 13.5. Energy and Power Spectrum Densities 13.6. Random Variables 13.7. Multivariate Gaussian Distribution 13.8. Random Processes 13.9. Sampling Theorem 13.10. The Z-Transform 13.11. The Discrete Fourier Transform 13.12. Discrete Power Spectrum 13.13. Windowing Techniques 13.14. MATLAB Programs Listing Appendix 13A Fourier Transform Table Appendix 13B Some Common Probability Densities Appendix 13C Z - Transform Table Chapter 14 MATLAB Program and Function Name List Bibliography MATLAB : simulations for radar systems design [texte imprimé] / Bassem R. Mahafza, Auteur ; Atef Z. Elsherbeni, Auteur . - Boca Raton, London, New York : Chapman & hALL/CRC, 2004 . - 682 p. : couv. ill. en en coul ; 24,2 cm. ISBN : 978-1-584-88392-0 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-03 Antennes-radars-sonars Résumé : Simulation is integral to the successful design of modern radar systems, and there is arguably no better software for this purpose than MATLAB. But software and the ability to use it does not guarantee success. One must also: Ö Understand radar operations and design philosophy Ö Know how to select the radar parameters to meet the design requirements Ö Be able to perform detailed trade-off analysis in the context of radar sizing, modes of operation, frequency selection, waveforms, and signal processing Ö Develop loss and error budgets associated with the design MATLAB Simulations for Radar Systems Design teaches all of this and provides the M-files and hands-on simulation experience needed to design and analyze radar systems. Part I forms a comprehensive description of radar systems, their analysis, and the design process. The authors' unique approach involves a design case study introduced in Chapter 1 and followed throughout the text. As the treatment progresses, the complexity increases and the case study requirements are adjusted accordingly. Part II presents a series of chapters-some authored by other experts in the field-on specialized radar topics important to a full understanding of radar systems design and analysis. Note de contenu : Table of contents PART I Chapter 1 Introduction to Radar Basics 1.1. Radar Classifications 1.2. Range 1.3. Range Resolution 1.4. Doppler Frequency 1.5. The Radar Equation 1.5.1. 1.6. Search (Surveillance) 1.6.1. 1.7. Pulse Integration Integration 1.8. Radar Losses 1.9. “MyRadar” Design Case Study - Visit 1 1.10. MATLAB Program and Function Listings Listing Appendix 1A Pulsed Radar Appendix 1B Noise Figure Chapter 2 Radar Detection 2.1. Detection in the Presence of Noise 2.2. Probability of False Alarm 2.3. Probability of Detection 2.4. Pulse Integration 2.5. Detection of Fluctuating Targets 2.6. Probability of Detection Calculation 2.7. The Radar Equation Revisited 2.8. Cumulative Probability of Detection 2.9. Constant False Alarm Rate (CFAR) 2.10. “MyRadar” Design Case Study - Visit 2 2.11. MATLAB Program and Function Listings Chapter 3 Radar Waveforms 3.1. Low Pass, Band Pass Signals and Quadrature Components 3.2. The Analytic Signal 3.3. CW and Pulsed Waveforms 3.4. Linear Frequency Modulation Waveforms 3.5. High Range Resolution 3.6. Stepped Frequency Waveforms 3.7. The Matched Filter 3.8. The Replica 3.9. Matched Filter Response to LFM Waveforms 3.10. Waveform Resolution and Ambiguity 3.11. “Myradar” Design Case Study - Visit 3 3.12. MATLAB Program and Function Listings Listing Chapter 4 The Radar Ambiguity Function 4.1. Introduction 4.2. Examples of the Ambiguity Function 4.3. Ambiguity Diagram Contours 4.4. Digital Coded Waveforms 4.5. “MyRadar” Design Case Study - Visit 4 4.6. MATLAB Program and Function Listings Chapter 5 Pulse Compression 5.1. Time-Bandwidth Product 5.2. Radar Equation with Pulse Compression 5.3. LFM Pulse Compression 5.4. “MyRadar” Design Case Study - Visit 5 5.5. MATLAB Program and Function Listings Chapter 6 Surface and Volume Clutter 6.1. Clutter Definition 6.2. Surface Clutter 6.3. Volume Clutter 6.4. Clutter Statistical Models 6.5. “MyRadar” Design Case Study - Visit 6 6.6. MATLAB Program and Function Listings Chapter 7 Moving Target Indicator (MTI) and Clutter Mitigation 7.1. Clutter Spectrum 7.2. Moving Target Indicator (MTI) 7.3. Single Delay Line Canceler 7.4. Double Delay Line Canceler 7.5. Delay Lines with Feedback (Recursive Filters) 7.6. PRF Staggering 7.7. MTI Improvement Factor 7.8. “MyRadar” Design Case Study 7.9. MATLAB Program and Function Listings Chapter 8 Phased Arrays 8.1. Directivity, Power Gain, and Effective Aperture 8.2. Near and Far Fields 8.3. General Arrays 8.4. Linear Arrays 8.5. Planar Arrays 8.6. Array Scan Loss 8.7. “MyRadar” Design Case Study - Visit 8 8.8. MATLAB Program and Function Listings Chapter 9 Target Tracking Single Target Tracking 9.1. Angle Tracking 9.2. Amplitude Comparison Monopulse 9.3. Phase Comparison Monopulse 9.4. Range Tracking Multiple Target Tracking 9.5. Track-While-Scan (TWS) 9.6. State Variable Representation of an LTI System 9.7. The LTI System of Interest 9.8. Fixed-Gain Tracking Filters 9.9. The Kalman Filter 9.10. “MyRadar” Design Case Study - Visit 9 9.11. MATLAB Program and Function Listings PART II Chapter 10 Electronic Countermeasures (ECM) 10.1. Introduction 10.2. Jammers 10.3. Range Reduction Factor 10.4. Chaff 10.5 MATLAB program and function listings Chapter 11 Radar Cross Section (RCS) 11.1. RCS Definition 11.2. RCS Prediction Methods 11.3. Dependency on Aspect Angle and Frequency 11.4. RCS Dependency on Polarization 11.5 RCS of Simple Objects 11.6. Scattering From a Dielectric-Capped Wedge 11.7. RCS of Complex Objects 11.8. RCS Fluctuations and Statistical Models 11.9. MATLAB Program and Function Listings Chapter 12 High Resolution Tactical Synthetic Aperture Radar (TSAR) 12.1. Introduction 12.2. Side Looking SAR Geometry 12.3. SAR Design Considerations 12.4. SAR Radar Equation 12.5. SAR Signal Processing 12.6. Side Looking SAR Doppler Processing 12.7. SAR Imaging Using Doppler Processing 12.8. Range Walk 12.9. A Three-Dimensional SAR Imaging Technique 12.10. MATLAB Programs and Functions Listing Chapter 13 Signal Processing 13.1. Signal and System Classifications 13.2. The Fourier Transform 13.3. The Fourier Series 13.4. Convolution and Correlation Integrals 13.5. Energy and Power Spectrum Densities 13.6. Random Variables 13.7. Multivariate Gaussian Distribution 13.8. Random Processes 13.9. Sampling Theorem 13.10. The Z-Transform 13.11. The Discrete Fourier Transform 13.12. Discrete Power Spectrum 13.13. Windowing Techniques 13.14. MATLAB Programs Listing Appendix 13A Fourier Transform Table Appendix 13B Some Common Probability Densities Appendix 13C Z - Transform Table Chapter 14 MATLAB Program and Function Name List Bibliography

Réservation

Réserver ce document

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
17	28-03-03	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Disponible	17

Cryptography / Douglas R. Stinson

Public ISBD Titre : Cryptography : theory and practice Type de document : texte imprimé Auteurs : Douglas R. Stinson, Auteur Mention d'édition : 3rd. ed. Editeur : Boca Raton, London, New York : Chapman & hALL/CRC Année de publication : 2006 Collection : Discrete Mathematics and ITS Applications Importance : 593 p. Présentation : couv. ill. en coul., ill. Format : 24 cm. ISBN/ISSN/EAN : 978-1-584-88508-5 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-04 Traitement du signal appliqué aux télécommunications Résumé : First introduced in 1995, Cryptography: Theory and Practice garnered enormous praise and popularity, and soon became the standard textbook for cryptography courses around the world. The second edition was equally embraced, and enjoys status as a perennial bestseller. Now in its third edition, this authoritative text continues to provide a solid foundation for future breakthroughs in cryptography. WHY A THIRD EDITION? The art and science of cryptography has been evolving for thousands of years. Now, with unprecedented amounts of information circling the globe, we must be prepared to face new threats and employ new encryption schemes on an ongoing basis. This edition updates relevant chapters with the latest advances and includes seven additional chapters covering: Pseudorandom bit generation in cryptography Entity authentication, including schemes built from primitives and special purpose "zero-knowledge" schemes Key establishment including key distribution and protocols for key agreement, both with a greater emphasis on security models and proofs Public key infrastructure, including identity-based cryptography Secret sharing schemes Multicast security, including broadcast encryption and copyright protection Note de contenu : Table of contents 1 CLASSICAL CRYPTOGRAPHY 2 SHANNON'S THEORY 3 BLOCK CIPHERS AND THE ADVANCED ENCRYPTION STANDARD 4 CRYPTOGRAPHIC HASH FUNCTIONS 5 THE RSA CRYPTOSYSTEM AND FACTORING INTEGERS 6 PUBLIC-KEY CRYPTOGRAPHY AND DISCRETE LOGARITHMS 7 SIGNATURE SCHEMES 8 PSEUDO-RANDOM NUMBER GENERATION 9 IDENTIFICATION SCHEMES AND ENTITY AUTHENTICATION 10 KEY DISTRIBUTION 11 KEY AGREEMENT SCHEMES 12 PUBLIC-KEY INFRASTRUCTURE 13 SECRET SHARING SCHEMES 14 MULTICAST SECURITY AND COPYRIGHT PROTECTION -INDEX Cryptography : theory and practice [texte imprimé] / Douglas R. Stinson, Auteur  . -  3rd. ed. . - Boca Raton, London, New York : Chapman & hALL/CRC, 2006 . - 593 p. : couv. ill. en coul., ill. ; 24 cm.. - (Discrete Mathematics and ITS Applications) . ISBN : 978-1-584-88508-5 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-04 Traitement du signal appliqué aux télécommunications Résumé : First introduced in 1995, Cryptography: Theory and Practice garnered enormous praise and popularity, and soon became the standard textbook for cryptography courses around the world. The second edition was equally embraced, and enjoys status as a perennial bestseller. Now in its third edition, this authoritative text continues to provide a solid foundation for future breakthroughs in cryptography. WHY A THIRD EDITION? The art and science of cryptography has been evolving for thousands of years. Now, with unprecedented amounts of information circling the globe, we must be prepared to face new threats and employ new encryption schemes on an ongoing basis. This edition updates relevant chapters with the latest advances and includes seven additional chapters covering: Pseudorandom bit generation in cryptography Entity authentication, including schemes built from primitives and special purpose "zero-knowledge" schemes Key establishment including key distribution and protocols for key agreement, both with a greater emphasis on security models and proofs Public key infrastructure, including identity-based cryptography Secret sharing schemes Multicast security, including broadcast encryption and copyright protection Note de contenu : Table of contents 1 CLASSICAL CRYPTOGRAPHY 2 SHANNON'S THEORY 3 BLOCK CIPHERS AND THE ADVANCED ENCRYPTION STANDARD 4 CRYPTOGRAPHIC HASH FUNCTIONS 5 THE RSA CRYPTOSYSTEM AND FACTORING INTEGERS 6 PUBLIC-KEY CRYPTOGRAPHY AND DISCRETE LOGARITHMS 7 SIGNATURE SCHEMES 8 PSEUDO-RANDOM NUMBER GENERATION 9 IDENTIFICATION SCHEMES AND ENTITY AUTHENTICATION 10 KEY DISTRIBUTION 11 KEY AGREEMENT SCHEMES 12 PUBLIC-KEY INFRASTRUCTURE 13 SECRET SHARING SCHEMES 14 MULTICAST SECURITY AND COPYRIGHT PROTECTION -INDEX

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
2006	28-04-36	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2006
2007	28-04-36	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2007