Tabla de Contenidos: “…17.3 Outage Probability Bounds in Time-Invariant Channels 309 -- 17.4 Simulation Results 310 -- 17.4.1 The Single-Path Time-Invariant Channel 311 -- 17.4.2 The Multipath Time-Invariant Channel 311 -- 17.4.3 The Multipath Time-Varying Channel 313 -- 17.5 Experimental Results: SPACE08 314 -- 17.6 Bibliographical Notes 315 -- 18 OFDM Modem Development 317 -- 18.1 Components of an Acoustic Modem 317 -- 18.2 OFDM Acoustic Modem in Air 318 -- 18.3 OFDM Lab Modem 318 -- 18.4 AquaSeNT OFDM Modem 320 -- 18.5 Bibliographical Notes 321 -- 19 Underwater Ranging and Localization 323 -- 19.1 Ranging 324 -- 19.1.1 One-Way Signaling 324 -- 19.1.2 Two-Way Signaling 324 -- 19.1.3 Challenges for High-Precision Ranging 325 -- 19.2 Underwater GPS 325 -- 19.2.1 System Overview 325 -- 19.2.2 One-Way Travel Time Estimation 326 -- 19.2.3 Localization 327 -- 19.2.4 Tracking Algorithms 329 -- 19.2.5 Simulation Results 334 -- 19.2.6 Field Test in a Local Lake 335 -- 19.3 On-Demand Asynchronous Localization 336 -- 19.3.1 Localization Procedure 337 -- 19.3.2 Localization Algorithm for the Initiator 338 -- 19.3.3 Localization Algorithm for a Passive Node 340 -- 19.3.4 Localization Performance Results in a Lake 341 -- 19.4 Bibliographical Notes 344 -- Appendix A Compressive Sensing 345 -- A.1 Compressive Sensing 346 -- A.1.1 Sparse Representation 346 -- A.1.2 Exactly and Approximately Sparse Signals 346 -- A.1.3 Sensing 346 -- A.1.4 Signal Recovery and RIP 347 -- A.1.5 Sensing Matrices 348 -- A.2 Sparse Recovery Algorithms 348 -- A.2.1 Matching Pursuits 349 -- A.2.2 1-Norm Minimization 349 -- A.3 Applications of Compressive Sensing 350 -- A.3.1 Applications of Compressive Sensing in Communications 350 -- A.3.2 Compressive Sensing in Underwater Acoustic Channels 351 -- Appendix B Experiment Description 353 -- B.1 SPACE08 Experiment 353 -- B.2 MACE10 Experiment 354 -- B.2.1 Experiment Setup 355 -- B.2.2 Mobility Estimation 356 -- References 359 -- Index 383.…”

Tabla de Contenidos: “…11.5.2 Wide-Sense Ergodic Processes 333 -- 11.6 Gaussian Processes 336 -- 11.7 Poisson Processes 339 -- 11.8 Summary 341 -- Problems 341 -- 12 Analysis and Processing of Random Processes 345 -- 12.1 Stochastic Continuity, Differentiation, and Integration 345 -- 12.1.1 Mean-Square Continuity 345 -- 12.1.2 Mean-Square Derivatives 346 -- 12.1.3 Mean-Square Integrals 347 -- 12.2 Power Spectral Density 347 -- 12.3 Noise 353 -- 12.3.1 White Noise 353 -- 12.4 Sampling of Random Signals 355 -- 12.5 Optimum Linear Systems 357 -- 12.5.1 Systems Maximizing Signal-to-Noise Ratio 357 -- 12.5.2 Systems Minimizing Mean-Square Error 359 -- 12.6 Summary 362 -- Problems 362 -- Bibliography 365 -- Books 365 -- Internet Websites 368 -- Answers 369 -- Index 387.…”

Tabla de Contenidos: “…15.3 Steepest Descent MSE Minimization…”

Tabla de Contenidos: “…Turaga and Mihaela van der Schaar / /10.1 Introduction: Smarter Planet 234 / /10.2 Illustrative Problem: Transportation 237 / /10.3 Stream Processing Characteristics 238 / /10.4 Distributed Stream Processing Systems 239 / /10.4.1 State of the Art 239 / /10.4.2 Stream Processing Systems 240 / /10.5 Distributed Online Learning Frameworks 244 / /10.5.1 State of the Art 244 / /10.5.2 Systematic Framework for Online Distributed Ensemble Learning 247 / /10.5.3 Online Learning of the Aggregation Weights 250 / /10.5.4 Collision Detection Application 254 / /10.6 What Lies Ahead 257 / /Acknowledgment 258 / /References 258 / /11 Securing the Internet of Things: Need for a New Paradigm and Fog Computing 261 /Tao Zhang, Yi Zheng, Raymond Zheng, and Helder Antunes / /11.1 Introduction 261 / /11.2 New IoT Security Challenges That Necessitate Fundamental Changes to the Existing Security /Paradigm 263 / /11.2.1 Many Things Will Have Long Life Spans but Constrained and Difficult-to-Upgrade Resources 264 / /11.2.2 Putting All IoT Devices Inside Firewalled Castles Will Become Infeasible or Impractical 264 / /11.2.3 Mission-Critical Systems Will Demand Minimal-Impact Incident Responses 265 / /11.2.4 The Need to Know the Security Status of a Vast Number of Devices 266 / /11.3 A New Security Paradigm for the Internet of Things 268 / /11.3.1 Help the Less Capable with Fog Computing 269 / /11.3.2 Scale Security Monitoring to Large Number of Devices with Crowd Attestation 272 / /11.3.3 Dynamic Risk / Benefit-Proportional Protection with Adaptive Immune Security 277 / /11.4 Summary 281 / /Acknowledgment 281 / /References 281 / /INDEX 285.…”