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Détails
| Format : | Livre |
|---|---|
| Tous les auteurs / collaborateurs : |
Michael Peter Kennedy; Riccardo Rovatti; Gianluca Setti |
| ISBN : | 0849323487 9780849323485 |
| Numéro OCLC : | 43937009 |
| Description : | 445 p. : ill. ; 27 cm. |
| Contenu : | 1.2 What is Chaos? 2 -- I Chaos at Code Level 5 -- 2 Introduction to DS-CDMA 7 -- 2.2 Spread Spectrum Concept 8 -- 2.2.1 Frequency Hopping 8 -- 2.2.2 Time Hopping 10 -- 2.2.3 Direct Sequence 10 -- 2.3 Spreading Codes and Environments 12 -- 2.3.1 Short and Long Sequences 13 -- 2.3.2 Chip Waveform 17 -- 2.3.3 Near Far Problem, Soft Degradation and Voice Activity Factor 20 -- 2.3.4 From SIR to Bit Error Probability: The Standard Gaussian Approximation 22 -- 2.4 Synchronization 23 -- 2.4.1 Serial Search 23 -- 2.4.2 Parallel Search 24 -- 2.5 Advanced Topics on DS-CDMA 25 -- 2.5.1 Serial Canceller 26 -- 2.5.2 Parallel Canceller 28 -- 3 Chaos-Based Asynchronous DS-CDMA Systems 33 -- 3.2 Channels and System Model 36 -- 3.2.1 Transmission Over a Selective Fading Channel 36 -- 3.2.2 System with Non-Selective Channel 40 -- 3.3 Sequences Generation with Chaotic Maps 40 -- 3.3.1 Perron-Frobenius Operator: A Tool for Studying Chaos with Densities 41 -- 3.3.2 Correlations of Quantized Chaotic Trajectories 46 -- 3.3.3 Specialization to Piecewise Affine Markov Maps 47 -- 3.3.4 Case of (n,t)-Tailed Shifts 53 -- 3.3.5 Application to DS-CDMA Systems 57 -- 3.4 Performance Over a Non-Selective Channel 60 -- 3.4.1 Numerical Results 62 -- 3.4.2 Nearly Optimal Performance Over a Non-Selective Channel 63 -- 3.5 Performance Over a Selective Fading Channel 66 -- 3.5.1 Numerical Results 69 -- 4 Information Sources Using Chaotic Dynamics 81 -- 4.2 Information Sources and Markov Chains 82 -- 4.2.1 A Model for a Communication System 82 -- 4.2.2 Kalman's Markov Map and Markov Information Sources 83 -- 4.3 How to Generate Sequences of Random Variables 90 -- 4.3.1 Bernoulli Shift and Rademacher Function 90 -- 4.3.2 EDP and CSP 93 -- 4.3.3 Design of Sequences of p-Ary Random Variables 100 -- 4.3.4 Correlational Properties of Sequences of Real-Valued Random Variables 104 -- 4.4 Applications to Communication Systems 110 -- 4.4.1 Stream Cipher System 110 -- 4.4.2 Image Transmission Using SS Techniques 112 -- 4.4.3 Interference Properties 116 -- II Chaos at Signal Level 129 -- 5 Overview of Digital Communications 131 -- 5.3 Digital Communications System: Structure 132 -- 5.2.1 Minimum Requirements for a Channel Model 133 -- 5.2.2 Performance Measures 135 -- 5.2.3 Factors Affecting the Choice of Modulation Scheme 136 -- 5.3 Modulation and Demodulation: The Basis Function Approach 136 -- 5.3.1 Orthonormal Basis Functions 136 -- 5.3.2 Signal Set Generation 137 -- 5.3.3 Recovery of the Signal Vector by Correlation 137 -- 5.3.4 Orthonormal Basis Functions for Bandwidth Efficiency 138 -- 5.4 Detection of a Single Symbol in Noise: Basic Receiver Configurations 138 -- 5.4.1 Correlation and Matched Filter Receivers 139 -- 5.4.2 Coherent and Noncoherent Receivers 140 -- 5.5 Example: BPSK with Coherent Detection 141 -- 5.6 Synchronization in Digital Communications 144 -- 5.6.1 Carrier Recovery and Timing Recovery 144 -- 5.6.2 Advantages and Disadvantages of Synchronization 145 -- 6 Chaotic Modulation Schemes 151 -- 6.2 Digital Communications Using Chaos 152 -- 6.3 Chaotic Modulation 153 -- 6.4 Chaos Shift Keying 153 -- 6.4.1 CSK Modulation with One Basis Function 155 -- 6.4.2 Demodulation of CSK with One Basis Function 156 -- 6.4.3 CSK Modulation with Two Basis Functions 159 -- 6.4.4 Demodulation of CSK with Two Basis Functions 160 -- 6.4.5 Role of Chaotic Synchronization in Coherent Correlation Receivers 161 -- 6.5 Differential Chaos Shift Keying 163 -- 6.5.1 DCSK Modulation 163 -- 6.5.2 DCSK Demodulation 164 -- 6.5.3 Qualitative Advantages of DCSK Over CSK 166 -- 6.5.4 Estimation Problem 167 -- 6.5.5 FM-DCSK 169 -- 6.6 Chaotic Communication Architectures: A Qualitative Comparison 171 -- 6.6.1 Noncoherent Correlation Receiver 172 --n 6.6.2 Coherent Correlation Receiver with Chaotic Synchronization 173 -- 6.6.3 Differentially Coherent DCSK and FM-DCSK Receivers 175 -- 6.6.4 Coherent CSK versus DCSK and FM-DCSK 176 -- 6.7 Noise Performance 176 -- 7 Performance Evaluation of FM-DCSK 185 -- 7.2 Spectrum of Transmitted FM-DCSK Signal 187 -- 7.2.1 Fast and Slow Spreading Techniques 187 -- 7.2.2 Differences Between Fast and Slow FM-DCSK Systems 189 -- 7.3 Tools for System Performance Evaluation 190 -- 7.3.1 Determination of Low-Pass Equivalent Model 191 -- 7.3.2 Simulation in the Discrete-Time Domain 199 -- 7.3.3 FM-DCSK Simulation in a Matlab Environment 200 -- 7.3.4 Verification of the FM-DCSK Simulator 201 -- 7.4 Noise Performance of FM-DCSK 203 -- 7.4.1 Relationship between SNR and BER 204 -- 7.4.2 Noise Performance in an AWGN Channel 204 -- 7.4.3 Effect of Main System Parameters on Noise Performance 205 -- 7.5 Operation in a Multipath Environment 208 -- 7.5.1 Model of Multipath Channel 209 -- 7.5.2 Qualitative Behavior of FM-DCSK in a Two-Ray Multipath Channel 210 -- 7.5.3 Quantitative Behavior of FM-DCSK in a Two-Ray Multipath Channel 212 -- 7.5.4 Quantitative Behavior of the FM-DCSK in a Multi-Ray Multipath Channel 215 -- 8 Noise Filtering in Chaos-Based Communication 221 -- 8.2 Chaos-Based Communication 223 -- 8.2.1 Classes of Chaos-Based Schemes 224 -- 8.2.2 Channel Noise 227 -- 8.2.3 Role of Noise Reduction 229 -- 8.3 Noise Reduction 230 -- 8.3.1 Problem Definition 230 -- 8.3.2 Parallel Solution of the Noise Reduction Problem 231 -- 8.3.3 Iterative Solution of the Noise Reduction Problem 234 -- 8.3.4 Implementation 238 -- 8.4 Explicit and Implicit Application 244 -- 8.4.1 Explicit Noise Pre-Filtering 244 -- 8.4.2 Implicit Noise Filtering 247 -- 9 Statistical Analysis and Design of Chaotic Systems 253 -- 9.2 Statistical Analysis of Discrete Time Chaotic Systems 254 -- 9.2.1 Function Space Description 254 -- 9.2.2 Frobenius-Perron Operator 258 -- 9.2.3 Conjugated System 260 -- 9.2.4 Markov Maps - A Chaotic System Model Class 263 -- 9.2.5 Polynomial Eigenspace Analysis 264 -- 9.2.6 Expectation Values 267 -- 9.3 System Design 269 -- 9.3.1 Prescribed Density Function 269 -- 9.3.2 Prescribed Correlation Function 271 -- 9.4 Generator Implementation Based on Piecewise Linear Maps 273 -- 9.4.1 System Structure 273 -- 9.4.2 Synthesis of Piecewise Linear Maps 275 -- 9.4.3 Integrated Circuit Design Example 278 -- 9.5 Chaotic Encryption Systems 278 -- 9.5.1 Statistical Design Approach 279 -- 9.5.2 A Simple Example 284 -- 9.5.3 Cryptographical Analysis 286 -- 9.6 Statistical Analysis of Chaotic Signal Processing Schemes 289 -- 9.6.1 Digital Chaotic Communications - The Processing of Random Signals 290 -- 9.6.2 Statistics of Random Variables and Processes and Their Nonlinear Transformations 291 -- 9.6.3 Analysis of Communication Schemes 295 -- III Chaos at Hardware Level 307 -- 10 Applications and Architectures for Chaotic ICs: An Introduction 309 -- 10.2 Application Scenarios for Chaotic Integrated Circuits: An Overview 310 -- 10.2.1 Emulation of Living Beings 310 -- 10.2.2 Neural Computation 311 -- 10.2.3 Instrumentation Systems 315 -- 10.2.4 Analog Signal Processing and Control 316 -- 10.2.5 Communication Systems 317 -- 10.3 Mathematical Models for Chaotic Circuits in ICs 319 -- 10.3.1 Systems Based on Finite-Difference Equations: Discrete Maps 319 -- 10.3.2 Systems Based on Ordinary Differential Equations 320 -- 10.4 Architectures and Concepts for Chaotic ICs 321 -- 10.4.1 Signal Weighting for ODE-Based Chaotic ICs 321 -- 10.4.2 Integrators 328 -- 10.4.3 Scaling and Delay for FDE-Based Chaotic ODEs 329 -- 10.4.4 Nonlinearities 331 -- 10.4.5 Piecewise-Linear Behaviours 331 -- 10.4.6 Continuous Nonlinear Behaviours 332 -- 11 Chaos-Based Noise Generation in Silicon 343 -- 11.2 Discrete-Time Chaos Generators 346 -- 11.3 Linear Operators for Discrete Maps 354 -- 11.3.1 Switched-Capacitor Linear Operators 356 -- 11.3.2 Switched-Current Linear Operators 365 -- 11.4 Piecewise-Linear Operators for Discrete Maps 371 -- 11.4.1 PWL Shaping of Voltage to Charge Transfer Characteristics 371 -- 11.4.2 PWL Shaping in Current-Mode Domain 374 -- 11.5 Integrated Discrete Maps 377 -- 11.5.1 Bernoulli Map 378 -- 11.5.2 Tent Map 384 -- 12 Robustness of Chaos in Analog Implementations 397 -- 12.1.1 Chaos and Analog Design 398 -- 12.1.2 Estimation of Yield in Chaotic Circuits 399 -- 12.1.3 Continuity Assumption 400 -- 12.1.4 Aim of This Chapter 401 -- 12.2 Robustness and Chaotic Maps 402 -- 12.2.1 System Definition 402 -- 12.2.2 A Few Mathematical Definitions 403 -- 12.2.3 Some Robustness Issues to Consider 404 -- 12.3 Robust Implementation of Chaotic Maps 421 -- 12.3.1 Architecture 423 -- 12.3.2 Design Blocks 423 -- 12.4 An Example of Sensitivity Analysis 430 -- 12.5 Robustness and Topological Conjugation 431 -- 12.5.1 Perturbation Model 433 -- 12.5.2 A Formalization of Stochastic Robustness 435 -- 12.5.3 Topological Conjugation Propagates Robustness 435. |
| Responsabilité : | edited by Michael Peter Kennedy, Riccardo Rovatti, Gianluca Setti. |
| Plus d’informations : |
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