Handbook on array processing and sensor networks / (Record no. 59648)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 16045nam a2202053 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 5493575 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421114118.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 100812t20152009njua obd 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780470487068 |
| -- | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 621.382/4 |
| 245 00 - TITLE STATEMENT | |
| Title | Handbook on array processing and sensor networks / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 PDF (xviii, 904 pages) : |
| 490 1# - SERIES STATEMENT | |
| Series statement | Adaptive and learning systems for signal processing, communications and control series ; |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Preface (Simon Haykin and K. J. Ray Liu) -- Contributors -- Introduction (Simon Haykin) -- PART I: FUNDAMENTAL ISSUES IN ARRAY SIGNAL PROCESSING -- 1. Wavefields. (Alfred Hanssen) -- 1.1 Introduction -- 1.2 Harmonizable Stochastic Processes -- 1.3 Stochastic Wavefields -- 1.4 Wave Dispersion -- 1.5 Conclusions -- 1.6 Acknowledgements -- References. -- 2. Spatial Spectrum Estimation (Petar M. Djuri) -- 2.1 Introduction -- 2.2 Fundamentals -- 2.3 Temporal Spectrum Estimation -- 2.4 Spatial Spectrum Estimation -- 2.5 Final Remarks -- References. -- 3. MIMO Radio Propagation (Tricia J. Willink) -- 3.1 Introduction -- 3.2 Space-Time Propagation Environment -- 3.3 Propagation Models -- 3.4 Measured Channel Characteristics -- 3.5 Stationarity -- 3.6 Summary -- References. -- 4. Robustness Issues in Sensor Array Processing (Alex B. Gershman) -- 4.1 Introduction -- 4.2 Direction-of-Arrival Estimation -- 4.3 Adaptive Beamforming -- 4.4 Conclusions -- Acknowledgments -- References. -- 5. Wireless Communication and Sensing in Multipath Environments Using Multiantenna Transceivers (Akbar M. Sayeed and Thiagarajan Sivanadyan) -- 5.1 Introduction and Overview -- 5.2 Multipath Wireless Channel Modeling in Time, Frequency and Space -- 5.3 Point-to-Point MIMO Wireless Communication Systems -- 5.4 Active Wireless Sensing with Wideband MIMO Transceivers -- 5.5 Concluding Remarks -- References -- PART II: NOVEL TECHNIQUES FOR AND APPLICATIONS OF ARRAY SIGNAL PROCESSING. -- 6. Implicit Training and Array Processing for Digital Communication Systems (Aldo G. Orozco-Lugo, Mauricio Lara, and Desmond C. McLernon) -- 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 -- 7. Unitary Design of Radar Waveform Diversity Sets (Michael D. Zoltowski, Tariq R. Qureshi, Robert Calderbank, and Bill Moran). |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 7.1 Introduction -- 7.2 2 x 2 Space-Time Diversity Waveform Design -- 7.3 4 x 4 Space-Time Diversity Waveform Design -- 7.4 Waveform Families Based on Kronecker Products -- 7.5 Introduction to Data-Dependent Waveform Design -- 7.6 3 x 3 and 6 x 6 Waveform Scheduling -- 7.7 Summary -- References. -- 8. Acoustic Array Processing for Speech Enhancement (Markus Buck, Eberhard H Ansler, Mohamed Krini, Gerhard Schmidt and Tobias Wolff) -- 8.1 Introduction -- 8.2 Signal Processing in the Subband Domain -- 8.3 Multichannel Echo Cancelation -- 8.4 Speaker Localization -- 8.5 Beamforming -- 8.6 Sensor Calibration -- 8.7 Postprocessing -- 8.8 Conclusions -- References -- 9. Acoustic Beamforming for Hearing Aid Applications (Simon Doclo, Sharon Gannot, Marc Moonen and Ann Spriet) -- 9.1. Introduction -- 9.2. Overview of noise reduction techniques -- 9.3. Monaural beamforming -- 9.4. Binaural beamforming -- 9.5. Conclusion -- 10. Undetermined Blind Source Separation Using Acoustic Arrays (Shoji Makino, Shoko Araki, Stefan Winter and Hiroshi Sawada) -- 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 -- 11. Array Processing in Astronomy (Douglas C.-J. Bock) -- 11.1 Introduction -- 11.2 Correlation Arrays -- 11.3 Aperture Plane Phased Arrays -- 11.4 Future Directions -- 11.5 Conclusion -- References. -- 12. Digital 3D/4D Ultrasound Imaging Array (Stergios Stergiopoulos) -- 12.1 Background -- 12.2 Next Generation 3D/4D Ultrasound Imaging Technology -- 12.3 Computing Architecture and Implementation Issues -- 12.4 An Experimental Planar Array Ultrasound Imaging System -- 12.5 Conclusion -- References -- PART III: FUNDAMENTAL ISSUES IN DISTRIBUTED SENSOR NETWORKS. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 13. Self-Localization of Sensor Networks (Josh N. Ash and Randolph L. Moses) -- 13.1 Introduction -- 13.2 Measurement Types and Performance Bounds -- 13.3 Localization Algorithms -- 13.4 Relative and Transformation Error Decomposition -- 13.5 Conclusions -- References. -- 14. Multitarget Tracking and Classification in Collaborative Sensor Networks via Sequential Monte Carlo (Tom Vercauteren and Xiaodong Wang) -- 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 -- Conclusion -- Appendix: Derviations of (14.38 and (14.40) -- References -- 15. Energy-Efficient Decentralized Estimation (Jin-Jun Xiao, Shuguang Cui and Zhi-Quan Luo) -- 15.5 Introduction -- 15.2 System Model -- 15.3 Digital Approaches -- 15.4 Analog Approaches -- 15.5 Analog versus Digital -- 15.6 Extension to Vector Model -- 15.7 Concluding Remarks -- Acknowledgments -- References. -- 16. Sensor Data Fusion with Application to Multitarget Tracking (R. Tharmarasa, K. Punithakumar, T. Kirubarajan and Y. Bar-Shalom) -- 16.1 Introduction -- 16.2 Tracking Filters -- 16.3 Data Association -- 16.4 Out-of-Sequence Measurements -- 16.5 Results with Real Data -- 16.6 Summary -- References. -- 17. Distributed Algorithms in Sensor Networks (Usman A. Khan, Soummya Kar and Jos A A Moura) -- 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. -- 18. Cooperative Sensor Communications (Ahmed K. Sadek, Weifeng Su and K. J. Ray Liu) -- 18.1 Introduction -- 18.2 Cooperative Relay Protocols -- 18.3 SER Analysis and Optimal Power Allocation. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 18.4 Energy Efficiency in Cooperative Sensor Networks -- 18.5 Experimental Results -- 18.6 Conclusions -- References. -- 19. Distributed Source Coding (Zixiang Xiong, Angelos D. Liveris and Yang Yang) -- 19.1 Introduction -- 19.2 Theoretical Background -- 19.3 Code Designs -- 19.4 Applications -- 19.5 Conclusions -- References. -- 20. Network Coding for Sensor Networks (Christina Fragouli) -- 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. -- 21. Information-Theoretic Studies of Wireless Sensor Networks (Liang-Liang Xie and P. R. Kumar) -- 21.1 Introduction -- 21.2 Information-Theoretic Studies -- 21.3 Relay Schemes -- 21.4 Wireless Network Coding -- 21.5 Concluding Remarks -- Acknowledgments -- References. -- PART IV: NOVEL TECHNIQUES FOR AND APPLICATIONS OF DISTRIBUTED SENSOR NETWORKS -- 22. Distributed Adaptive Learning Mechanisms (Ali H. Sayed and Federico S. Cattivelli) -- 22.1 Introduction -- 22.2 Motivation -- 22.3 Incremental Adaptive Solutions -- 22.4 Diffusion Adaptive Solutions -- 22.5 Concluding Remarks -- Acknowledgments -- References -- 23. Routing for Statistical Inference in Sensor Networks (A. Anandkumar, A. Ephremides, A. Swami and L. Tong) -- 23.1 Introduction -- 23.2 Spatial Data Correlation -- 23.3 Statistical Inference of Markov Random Fields -- 23.4 Optimal Routing for Inference with Local Processing -- 23.5 Conclusion and Future Work -- 23.6 Bibliographic Notes -- References. -- 24. Spectral Estimation in Cognitive Radios (Behrouz Farhang-Boroujeny) -- 24.1 Filter Bank Formulation of Spectral Estimators -- 24.2 Polyphase Realization of Uniform Filter Banks. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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 -- 25. Nonparametric Techniques for Pedestrian Tracking in Wireless Local Area Networks (Azadeh Kushki and Kostas N. Plataniotis) -- 25.1 Introduction -- 25.2 WLAN Positioning Architectures -- 25.3 Signal Models -- 25.4 Zero-Memory Positioning -- 25.5 Dynamic Positioning Systems -- 25.6 Cognition and Feedback -- 25.7 Tracking Example -- 25.8 Conclusions -- References -- 26. Reconfigurable Self-Activating Ion-Channel-Based Biosensors Vikram Krishnamurthy and Bruce Cornell) -- 26.1 Introduction -- 26.2 Biosensors Built of Ion Channels -- 26.3 Joint Input Excitation and Concentration Classification for Biosensor -- 26.4 Decentralized Deployment of Dense Network of Biosensors -- 26.5 Discussion and Extensions -- References. -- 27. Biochemical Transport Modeling, Estimation and Detection in Realistic Environments (Mathias Ortner and Arye Nehorai ) -- 27.1 Introduction -- 27.2 Physical and Statistical Models -- 27.3 Transport Modeling Using Monte Carlo Approximation -- 27.4 Localizing the Source(s) -- 27.5 Sequential Detection -- 27.6 Conclusion -- References -- 28. Security and Privacy for Sensor Networks (Wade Trappe, Peng Ning and Adrian Perrig) -- 28.1 Introduction -- 28.2 Security and Privacy Challenges -- 28.3 Ensuring Integrity of Measurement Process -- 28.4 Availability Attacks against the Wireless Link -- 28.5 Ensuring Privacy of Routing Contexts -- 28.6 Conclusion -- References -- Index. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Liu, K. J. Ray. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Haykin, Simon S. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5493575 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | [Piscataway, New Jersey] : |
| -- | IEEE, |
| -- | c2009 |
| 264 #2 - | |
| -- | [Piscataqay, New Jersey] : |
| -- | IEEE Xplore, |
| -- | [2010] |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | electronic |
| -- | isbdmedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 588 ## - | |
| -- | Description based on PDF viewed 12/21/2015. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Sensor networks. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Antenna arrays. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Array processors. |
| 695 ## - | |
| -- | Acoustics |
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| -- | Ad hoc networks |
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| -- | Adaptive systems |
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| -- | Array signal processing |
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| -- | Arrays |
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| -- | Auditory system |
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| -- | Baseband |
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| -- | Biological system modeling |
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| -- | Biomedical measurements |
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| -- | Biomembranes |
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| -- | Biosensors |
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| -- | Blind source separation |
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| -- | Channel coding |
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| -- | Channel estimation |
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| -- | Clutter |
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| -- | Cognitive radio |
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| -- | Collaboration |
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| -- | Computational modeling |
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| -- | Correlation |
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| -- | Covariance matrix |
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| -- | Decoding |
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| -- | Delay |
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| -- | Direction of arrival estimation |
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| -- | Discrete Fourier transforms |
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| -- | Dispersion |
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| -- | Distortion measurement |
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| -- | Encoding |
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| -- | Encryption |
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| -- | Energy consumption |
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| -- | Equations |
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| -- | Estimation |
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| -- | Fading |
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| -- | Filter banks |
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| -- | Fourier transforms |
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| -- | Frequency domain analysis |
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| -- | Frequency estimation |
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| -- | Games |
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| -- | Hearing aids |
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| -- | Image resolution |
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| -- | Imaging |
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| -- | Immune system |
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| -- | Indexes |
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| -- | Interference |
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| -- | Joints |
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| -- | Kalman filters |
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| -- | Lead |
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| -- | Learning systems |
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| -- | Least squares approximation |
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| -- | Lipidomics |
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| -- | MIMO |
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| -- | MIMO radio propagation |
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| -- | Markov processes |
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| -- | Mathematical model |
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| -- | Measurement |
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| -- | Media Access Protocol |
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| -- | Microphones |
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| -- | Minimization |
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| -- | Mobile communication |
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| -- | Modulation |
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| -- | Monitoring |
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| -- | Moon |
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| -- | Narrowband |
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| -- | Network coding |
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| -- | Network topology |
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| -- | Noise |
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| -- | Noise measurement |
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| -- | Noise reduction |
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| -- | Numerical models |
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| -- | Peer to peer computing |
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| -- | Pollution measurement |
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| -- | Position measurement |
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| -- | Privacy |
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| -- | Probes |
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| -- | Protocols |
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| -- | Prototypes |
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| -- | Quantization |
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| -- | Radar |
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| -- | Radar antennas |
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| -- | Radar tracking |
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| -- | Random processes |
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| -- | Rate-distortion |
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| -- | Real time systems |
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| -- | Receivers |
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| -- | Receiving antennas |
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| -- | Robustness |
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| -- | Routing |
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| -- | Sections |
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| -- | Sensor arrays |
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| -- | Sensor fusion |
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| -- | Sensors |
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| -- | Signal processing |
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| -- | Signal processing algorithms |
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| -- | Signal to noise ratio |
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| -- | Source coding |
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| -- | Spectral analysis |
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| -- | Speech |
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| -- | Speech enhancement |
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| -- | Stochastic processes |
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| -- | Target tracking |
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| -- | Temperature measurement |
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| -- | Temperature sensors |
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| -- | Three dimensional displays |
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| -- | Time frequency analysis |
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| -- | Time measurement |
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| -- | Transceivers |
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| -- | Transmitters |
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| -- | Ultrasonic imaging |
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| -- | Wireless LAN |
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| -- | Wireless communication |
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| -- | Wireless networks |
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| -- | Wireless sensor networks |
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| -- | Yttrium |
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| -- | aperture plane phased arrays |
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| -- | array processing in astronomy in radio astronomy |
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| -- | localization algorithms |
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| -- | maximum entropy method (MEM) deconvolution method finding a model image with maximum entropy |
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| -- | measured channel characteristics |
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| -- | propagation models, marketing of MIMO and assumption of uncorrelated fading |
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| -- | relative and transformation error decomposition |
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| -- | selflocalization of sensor networks |
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