Book description
A handbook on recent advancements and the state of the art in array processing and sensor Networks
Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks.
Focusing on fundamental principles as well as applications, the handbook provides exhaustive coverage of: wavelets; spatial spectrum estimation; MIMO radio propagation; robustness issues in sensor array processing; wireless communications and sensing in multi-path environments using multi-antenna transceivers; implicit training and array processing for digital communications systems; unitary design of radar waveform diversity sets; acoustic array processing for speech enhancement; acoustic beamforming for hearing aid applications; undetermined blind source separation using acoustic arrays; array processing in astronomy; digital 3D/4D ultrasound imaging technology; self-localization of sensor networks; multi-target tracking and classification in collaborative sensor networks via sequential Monte Carlo; energy-efficient decentralized estimation; sensor data fusion with application to multi-target tracking; distributed algorithms in sensor networks; cooperative communications; distributed source coding; network coding for sensor networks; information-theoretic studies of wireless networks; distributed adaptive learning mechanisms; routing for statistical inference in sensor networks; spectrum estimation in cognitive radios; nonparametric techniques for pedestrian tracking in wireless local area networks; signal processing and networking via the theory of global games; biochemical transport modeling, estimation, and detection in realistic environments; and security and privacy for sensor networks.
Handbook on Array Processing and Sensor Networks is the first book of its kind and will appeal to researchers, professors, and graduate students in array processing, sensor networks, advanced signal processing, and networking.
Table of contents
- Cover Page
- Title Page
- Copyright
- Contents
- Preface
- Contributors
- Introduction
- PART I: FUNDAMENTAL ISSUES IN ARRAY SIGNAL PROCESSING
-
PART II: NOVEL TECHNIQUES FOR AND APPLICATIONS OF ARRAY SIGNAL PROCESSING
-
CHAPTER 6: Implicit Training and Array Processing for Digital Communication Systems
- 6.1 INTRODUCTION
- 6.2 CLASSIFICATION OF IMPLICIT TRAINING METHODS
- 6.3 IT-BASED ESTIMATION FOR A SINGLE USER
- 6.4 IT-BASED ESTIMATION FOR MULTIPLE USERS EXPLOITING ARRAY PROCESSING: CONTINUOUS TRANSMISSION
- 6.5 IT-BASED ESTIMATION FOR MULTIPLE USERS EXPLOITING ARRAY PROCESSING: PACKET TRANSMISSION
- 6.6 OPEN RESEARCH PROBLEMS
- ACKNOWLEDGMENTS
- REFERENCES
- CHAPTER 7: Unitary Design of Radar Waveform Diversity Sets
- CHAPTER 8: Acoustic Array Processing for Speech Enhancement
- CHAPTER 9: Acoustic Beamforming for Hearing Aid Applications
-
CHAPTER 10: Underdetermined Blind Source Separation Using Acoustic Arrays
- 10.1 INTRODUCTION
- 10.2 UNDERDETERMINED BLIND SOURCE SEPARATION OF SPEECHES IN REVERBERANT ENVIRONMENTS
- 10.3 SPARSENESS OF SPEECH SOURCES
- 10.4 BINARY MASK APPROACH TO UNDERDETERMINED BSS
- 10.5 MAP-BASED TWO-STAGE APPROACH TO UNDERDETERMINED BSS
- 10.6 EXPERIMENTAL COMPARISON WITH BINARY MASK APPROACH AND MAP-BASED TWO-STAGE APPROACH
- 10.7 CONCLUDING REMARKS
- REFERENCES
- CHAPTER 11: Array Processing in Astronomy
- CHAPTER 12: Digital 3D/4D Ultrasound Imaging Array
-
CHAPTER 6: Implicit Training and Array Processing for Digital Communication Systems
-
PART III: FUNDAMENTAL ISSUES IN DISTRIBUTED SENSOR NETWORKS
- CHAPTER 13: Self-Localization of Sensor Networks
-
CHAPTER 14: Multitarget Tracking and Classification in Collaborative Sensor Networks via Sequential Monte Carlo Methods
- 14.1 INTRODUCTION
- 14.2 SYSTEM DESCRIPTION AND PROBLEM FORMULATION
- 14.3 SEQUENTIAL MONTE CARLO METHODS
- 14.4 JOINT SINGLE-TARGET TRACKING AND CLASSIFICATION
- 14.5 MULTIPLE-TARGET TRACKING AND CLASSIFICATION
- 14.6 SENSOR SELECTION
- 14.7 SIMULATION RESULTS
- 14.8 CONCLUSION
- APPENDIX: DERIVATIONS OF ( 14.38 ) AND ( 14.40 )
- REFERENCES
- CHAPTER 15: Energy-Efficient Decentralized Estimation
- CHAPTER 16: Sensor Data Fusion with Application to Multitarget Tracking
-
CHAPTER 17: Distributed Algorithms in Sensor Networks
- 17.1 INTRODUCTION
- 17.2 PRELIMINARIES
- 17.3 DISTRIBUTED DETECTION
- 17.4 CONSENSUS ALGORITHMS
- 17.5 ZERO-DIMENSION (AVERAGE) CONSENSUS
- 17.6 CONSENSUS IN HIGHER DIMENSIONS
- 17.7 LEADER–FOLLOWER (TYPE) ALGORITHMS
- 17.8 LOCALIZATION IN SENSOR NETWORKS
- 17.9 LINEAR SYSTEM OF EQUATIONS: DISTRIBUTED ALGORITHM
- 17.10 CONCLUSIONS
- REFERENCES
- CHAPTER 18: Cooperative Sensor Communications
- CHAPTER 19: Distributed Source Coding
-
CHAPTER 20: Network Coding for Sensor Networks
- 20.1 INTRODUCTION
- 20.2 HOW CAN WE IMPLEMENT NETWORK CODING IN A PRACTICAL SENSOR NETWORK?
- 20.3 DATA COLLECTION AND COUPON COLLECTOR PROBLEM
- 20.4 DISTRIBUTED STORAGE AND SENSOR NETWORK DATA PERSISTENCE
- 20.5 DECENTRALIZED OPERATION AND UNTUNED RADIOS
- 20.6 BROADCASTING AND MULTIPATH DIVERSITY
- 20.7 NETWORK, CHANNEL, AND SOURCE CODING
- 20.8 IDENTITY-AWARE SENSOR NETWORKS
- 20.9 DISCUSSION
- ACKNOWLEDGMENTS
- REFERENCES
- CHAPTER 21: Information-Theoretic Studies of Wireless Sensor Networks
-
PART IV: Novel Techniques for and Applications of Distributed Sensor Networks
- CHAPTER 22: Distributed Adaptive Learning Mechanisms
- CHAPTER 23: Routing for Statistical Inference in Sensor Networks
-
CHAPTER 24: Spectral Estimation in Cognitive Radios
- 24.1 FILTER BANK FORMULATION OF SPECTRAL ESTIMATORS
- 24.2 POLYPHASE REALIZATION OF UNIFORM FILTER BANKS
- 24.3 PERIODOGRAM SPECTRAL ESTIMATOR
- 24.4 MULTITAPER SPECTRAL ESTIMATOR
- 24.5 FILTER BANK SPECTRAL ESTIMATOR
- 24.6 DISTRIBUTED SPECTRUM SENSING
- 24.7 DISCUSSION
- APPENDIX A: EFFECTIVE DEGREE OF FREEDOM
- APPENDIX B: EXPLANATION TO THE RESULTS OF Table 24.1
- REFERENCES
- CHAPTER 25: Nonparametric Techniques for Pedestrian Tracking in Wireless Local Area Networks
- CHAPTER 26: Reconfigurable Self-Activating Ion-Channel-Based Biosensors
- CHAPTER 27: Biochemical Transport Modeling, Estimation, and Detection in Realistic Environments
- CHAPTER 28: Security and Privacy for Sensor Networks
- INDEX
Product information
- Title: Handbook on Array Processing and Sensor Networks
- Author(s):
- Release date: January 2010
- Publisher(s): Wiley-IEEE Press
- ISBN: 9780470371763
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