{"product_id":"handbook-on-array-processing-and-sensor-networks-hardback-9780470371763","title":"Handbook on Array Processing and Sensor Networks (Hardback) 9780470371763","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eHandbook on Array Processing and Sensor Networks\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eSimon Haykin (Author), K. J. Ray Liu (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470371763, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 28 January 2010\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e924 pages\u003cbr\u003e26 x 18.5 x 4.7 cm, 1.71 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"The book's 28 chapters are written mostly in a tutorial style. Thus, they will particularly benefit students and newcomers to any of the application fields detailed in Parts 2 and 4.\" (\u003ci\u003eComputing Reviews,\u003c\/i\u003e June 2010)\u003cbr\u003e \u003cbr\u003e  \"Haykin and Liu's book is a very useful tool, not only for researchers and experts in the field, but also for graduate students interested in advanced signal processing and networking topics.\" (\u003ci\u003eComputing Reviews,\u003c\/i\u003e June 2010)\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eA handbook on recent advancements and the state of the art in array processing and sensor Networks\u003c\/b\u003e  \u003cp\u003e\u003ci\u003eHandbook on Array Processing and Sensor Networks\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eFocusing 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eHandbook on Array Processing and Sensor Networks\u003c\/i\u003e 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface \u003ci\u003e(Simon Haykin and K. J. Ray Liu).\u003c\/i\u003e  \u003cp\u003e\u003cb\u003eContributors.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIntroduction (\u003c\/b\u003e\u003ci\u003eSimon Haykin\u003c\/i\u003e\u003cb\u003e).\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART I: FUNDAMENTAL ISSUES IN ARRAY SIGNAL PROCESSING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. Wavefields.\u003c\/b\u003e \u003ci\u003e(Alfred Hanssen).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction.\u003c\/p\u003e \u003cp\u003e1.2 Harmonizable Stochastic Processes.\u003c\/p\u003e \u003cp\u003e1.3 Stochastic Wavefields.\u003c\/p\u003e \u003cp\u003e1.4 Wave Dispersion.\u003c\/p\u003e \u003cp\u003e1.5 Conclusions.\u003c\/p\u003e \u003cp\u003e1.6 Acknowledgements.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Spatial Spectrum Estimation\u003c\/b\u003e \u003ci\u003e(Petar M. Djuri\u003c\/i\u003eć\u003ci\u003e).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction.\u003c\/p\u003e \u003cp\u003e2.2 Fundamentals.\u003c\/p\u003e \u003cp\u003e2.3 Temporal Spectrum Estimation.\u003c\/p\u003e \u003cp\u003e2.4 Spatial Spectrum Estimation.\u003c\/p\u003e \u003cp\u003e2.5 Final Remarks.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. MIMO Radio Propagation\u003c\/b\u003e \u003ci\u003e(Tricia J. Willink).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction.\u003c\/p\u003e \u003cp\u003e3.2 Space-Time Propagation Environment.\u003c\/p\u003e \u003cp\u003e3.3 Propagation Models.\u003c\/p\u003e \u003cp\u003e3.4 Measured Channel Characteristics.\u003c\/p\u003e \u003cp\u003e3.5 Stationarity.\u003c\/p\u003e \u003cp\u003e3.6 Summary.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Robustness Issues in Sensor Array Processing\u003c\/b\u003e \u003ci\u003e(Alex B. Gershman).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction.\u003c\/p\u003e \u003cp\u003e4.2 Direction-of-Arrival Estimation.\u003c\/p\u003e \u003cp\u003e4.3 Adaptive Beamforming.\u003c\/p\u003e \u003cp\u003e4.4 Conclusions.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Wireless Communication and Sensing in Multipath Environments Using Multiantenna Transceivers\u003c\/b\u003e (\u003ci\u003eAkbar M. Sayeed and Thiagarajan Sivanadyan).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction and Overview.\u003c\/p\u003e \u003cp\u003e5.2 Multipath Wireless Channel Modeling in Time, Frequency and Space.\u003c\/p\u003e \u003cp\u003e5.3 Point-to-Point MIMO Wireless Communication Systems.\u003c\/p\u003e \u003cp\u003e5.4 Active Wireless Sensing with Wideband MIMO Transceivers.\u003c\/p\u003e \u003cp\u003e5.5 Concluding Remarks.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART II: NOVEL TECHNIQUES FOR AND APPLICATIONS OF ARRAY SIGNAL PROCESSING.\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Implicit Training and Array Processing for Digital Communication Systems\u003c\/b\u003e \u003ci\u003e(Aldo G. Orozco-Lugo, Mauricio Lara, and Desmond C. McLernon).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction.\u003c\/p\u003e \u003cp\u003e6.2 Classification of Implicit Training Methods.\u003c\/p\u003e \u003cp\u003e6.3 IT-Based Estimation for a Single User.\u003c\/p\u003e \u003cp\u003e6.4 IT-Based Estimation for Multiple Users Exploiting Array Processing: Continuous Transmission.\u003c\/p\u003e \u003cp\u003e6.5 IT-Based Estimation for Multiple Users Exploiting Array Processing: Packet Transmission.\u003c\/p\u003e \u003cp\u003e6.6 Open Research Problems.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Unitary Design of Radar Waveform Diversity Sets\u003c\/b\u003e \u003ci\u003e(Michael D. Zoltowski, Tariq R. Qureshi, Robert Calderbank, and Bill Moran).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction.\u003c\/p\u003e \u003cp\u003e7.2 2 x 2 Space-Time Diversity Waveform Design.\u003c\/p\u003e \u003cp\u003e7.3 4 x 4 Space-Time Diversity Waveform Design.\u003c\/p\u003e \u003cp\u003e7.4 Waveform Families Based on Kronecker Products.\u003c\/p\u003e \u003cp\u003e7.5 Introduction to Data-Dependent Waveform Design.\u003c\/p\u003e \u003cp\u003e7.6 3 x 3 and 6 x 6 Waveform Scheduling.\u003c\/p\u003e \u003cp\u003e7.7 Summary.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Acoustic Array Processing for Speech Enhancement\u003c\/b\u003e \u003ci\u003e(Markus Buck, Eberhard Hänsler, Mohamed Krini, Gerhard Schmidt and Tobias Wolff).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction.\u003c\/p\u003e \u003cp\u003e8.2 Signal Processing in the Subband Domain.\u003c\/p\u003e \u003cp\u003e8.3 Multichannel Echo Cancelation.\u003c\/p\u003e \u003cp\u003e8.4 Speaker Localization.\u003c\/p\u003e \u003cp\u003e8.5 Beamforming.\u003c\/p\u003e \u003cp\u003e8.6 Sensor Calibration.\u003c\/p\u003e \u003cp\u003e8.7 Postprocessing.\u003c\/p\u003e \u003cp\u003e8.8 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. Acoustic Beamforming for Hearing Aid Applications\u003c\/b\u003e \u003ci\u003e(Simon Doclo, Sharon Gannot, Marc Moonen and Ann Spriet).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1. Introduction.\u003c\/p\u003e \u003cp\u003e9.2. Overview of noise reduction techniques.\u003c\/p\u003e \u003cp\u003e9.3. Monaural beamforming.\u003c\/p\u003e \u003cp\u003e9.4. Binaural beamforming.\u003c\/p\u003e \u003cp\u003e9.5. Conclusion.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Undetermined Blind Source Separation Using Acoustic Arrays\u003c\/b\u003e \u003ci\u003e(Shoji Makino, Shoko Araki, Stefan Winter and Hiroshi Sawada).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction.\u003c\/p\u003e \u003cp\u003e10.2 Underdetermined Blind Source Separation of Speeches in Reverberant Environments.\u003c\/p\u003e \u003cp\u003e10.3 Sparseness of Speech Sources.\u003c\/p\u003e \u003cp\u003e10.4 Binary Mask Approach to Underdetermined BSS.\u003c\/p\u003e \u003cp\u003e10.5 MAP-Based Two-Stage Approach to Underdetermined BSS.\u003c\/p\u003e \u003cp\u003e10.6 Experimental Comparison with Binary Mask Approach and MAP-Based Two-Stage Approach.\u003c\/p\u003e \u003cp\u003e10.7 Concluding Remarks.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Array Processing in Astronomy\u003c\/b\u003e \u003ci\u003e(Douglas C.-J. Bock).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction.\u003c\/p\u003e \u003cp\u003e11.2 Correlation Arrays.\u003c\/p\u003e \u003cp\u003e11.3 Aperture Plane Phased Arrays.\u003c\/p\u003e \u003cp\u003e11.4 Future Directions.\u003c\/p\u003e \u003cp\u003e11.5 Conclusion.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. Digital 3D\/4D Ultrasound Imaging Array\u003c\/b\u003e \u003ci\u003e(Stergios Stergiopoulos).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Background.\u003c\/p\u003e \u003cp\u003e12.2 Next Generation 3D\/4D Ultrasound Imaging Technology.\u003c\/p\u003e \u003cp\u003e12.3 Computing Architecture and Implementation Issues.\u003c\/p\u003e \u003cp\u003e12.4 An Experimental Planar Array Ultrasound Imaging System.\u003c\/p\u003e \u003cp\u003e12.5 Conclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART III: FUNDAMENTAL ISSUES IN DISTRIBUTED SENSOR NETWORKS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. Self-Localization of Sensor Networks\u003c\/b\u003e \u003ci\u003e(Josh N. Ash and Randolph L. Moses).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction.\u003c\/p\u003e \u003cp\u003e13.2 Measurement Types and Performance Bounds.\u003c\/p\u003e \u003cp\u003e13.3 Localization Algorithms.\u003c\/p\u003e \u003cp\u003e13.4 Relative and Transformation Error Decomposition.\u003c\/p\u003e \u003cp\u003e13.5 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e14. Multitarget Tracking and Classification in Collaborative Sensor Networks via Sequential Monte Carlo\u003c\/b\u003e \u003ci\u003e(Tom Vercauteren and Xiaodong Wang).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction.\u003c\/p\u003e \u003cp\u003e14.2 System Description and Problem Formulation.\u003c\/p\u003e \u003cp\u003e14.3 Sequential Monte Carlo Methods.\u003c\/p\u003e \u003cp\u003e14.4 Joint Single-Target Tracking and Classification.\u003c\/p\u003e \u003cp\u003e14.5 Multiple-Target Tracking and Classification.\u003c\/p\u003e \u003cp\u003e14.6 Sensor Selection.\u003c\/p\u003e \u003cp\u003e14.7 Simulation Results.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eAppendix: Derviations of (14.38 and (14.40).\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15. Energy-Efficient Decentralized Estimation\u003c\/b\u003e \u003ci\u003e(Jin-Jun Xiao, Shuguang Cui and Zhi-Quan Luo).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.5 Introduction.\u003c\/p\u003e \u003cp\u003e15.2 System Model.\u003c\/p\u003e \u003cp\u003e15.3 Digital Approaches.\u003c\/p\u003e \u003cp\u003e15.4 Analog Approaches.\u003c\/p\u003e \u003cp\u003e15.5 Analog versus Digital.\u003c\/p\u003e \u003cp\u003e15.6 Extension to Vector Model.\u003c\/p\u003e \u003cp\u003e15.7 Concluding Remarks.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e16. Sensor Data Fusion with Application to Multitarget Tracking\u003c\/b\u003e \u003ci\u003e(R. Tharmarasa, K. Punithakumar, T. Kirubarajan and Y. Bar-\u003c\/i\u003eShalom).\u003c\/p\u003e \u003cp\u003e16.1 Introduction.\u003c\/p\u003e \u003cp\u003e16.2 Tracking Filters.\u003c\/p\u003e \u003cp\u003e16.3 Data Association.\u003c\/p\u003e \u003cp\u003e16.4 Out-of-Sequence Measurements.\u003c\/p\u003e \u003cp\u003e16.5 Results with Real Data.\u003c\/p\u003e \u003cp\u003e16.6 Summary.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e17. Distributed Algorithms in Sensor Networks\u003c\/b\u003e \u003ci\u003e(Usman A. Khan, Soummya Kar and José Moura).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction.\u003c\/p\u003e \u003cp\u003e17.2 Preliminaries.\u003c\/p\u003e \u003cp\u003e17.3 Distributed Detection.\u003c\/p\u003e \u003cp\u003e17.4 Consensus Algorithms.\u003c\/p\u003e \u003cp\u003e17.5 Zero-Dimension (Average) Consensus.\u003c\/p\u003e \u003cp\u003e17.6 Consensus in Higher Dimensions.\u003c\/p\u003e \u003cp\u003e17.7 Leader-Follower (Type) Algorithms.\u003c\/p\u003e \u003cp\u003e17.8 Localization in Sensor Networks.\u003c\/p\u003e \u003cp\u003e17.9 Linear System of Equations: Distributed Algorithm.\u003c\/p\u003e \u003cp\u003e17.10 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e18. Cooperative Sensor Communications\u003c\/b\u003e \u003ci\u003e(Ahmed K. Sadek, Weifeng Su and K. J. Ray Liu).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction.\u003c\/p\u003e \u003cp\u003e18.2 Cooperative Relay Protocols.\u003c\/p\u003e \u003cp\u003e18.3 SER Analysis and Optimal Power Allocation.\u003c\/p\u003e \u003cp\u003e18.4 Energy Efficiency in Cooperative Sensor Networks.\u003c\/p\u003e \u003cp\u003e18.5 Experimental Results.\u003c\/p\u003e \u003cp\u003e18.6 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e19. Distributed Source Coding\u003c\/b\u003e \u003ci\u003e(Zixiang Xiong, Angelos D. Liveris and Yang Yang).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction.\u003c\/p\u003e \u003cp\u003e19.2 Theoretical Background.\u003c\/p\u003e \u003cp\u003e19.3 Code Designs.\u003c\/p\u003e \u003cp\u003e19.4 Applications.\u003c\/p\u003e \u003cp\u003e19.5 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e20. Network Coding for Sensor Networks\u003c\/b\u003e \u003ci\u003e(Christina Fragouli).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction.\u003c\/p\u003e \u003cp\u003e20.2 How Can We Implement Network Coding in a Practical Sensor Network?\u003c\/p\u003e \u003cp\u003e20.3 Data Collection and Coupon Collector Problem.\u003c\/p\u003e \u003cp\u003e20.4 Distributed Storage and Sensor Network Data Persistence.\u003c\/p\u003e \u003cp\u003e20.5 Decentralized Operation and Untuned Radios.\u003c\/p\u003e \u003cp\u003e20.6 Broadcasting and Multipath Diversity.\u003c\/p\u003e \u003cp\u003e20.7 Network, Channel and Source Coding.\u003c\/p\u003e \u003cp\u003e20.8 Identity-Aware Sensor Networks.\u003c\/p\u003e \u003cp\u003e20.9 Discussion.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e21. Information-Theoretic Studies of Wireless Sensor Networks\u003c\/b\u003e \u003ci\u003e(Liang-Liang Xie and P. R. Kumar).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21.1 Introduction.\u003c\/p\u003e \u003cp\u003e21.2 Information-Theoretic Studies.\u003c\/p\u003e \u003cp\u003e21.3 Relay Schemes.\u003c\/p\u003e \u003cp\u003e21.4 Wireless Network Coding.\u003c\/p\u003e \u003cp\u003e21.5 Concluding Remarks.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART IV: NOVEL TECHNIQUES FOR AND APPLICATIONS OF DISTRIBUTED SENSOR NETWORKS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22. Distributed Adaptive Learning Mechanisms\u003c\/b\u003e \u003ci\u003e(Ali H. Sayed and Federico S. Cattivelli).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22.1 Introduction.\u003c\/p\u003e \u003cp\u003e22.2 Motivation.\u003c\/p\u003e \u003cp\u003e22.3 Incremental Adaptive Solutions.\u003c\/p\u003e \u003cp\u003e22.4 Diffusion Adaptive Solutions.\u003c\/p\u003e \u003cp\u003e22.5 Concluding Remarks.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eReferences\u003c\/p\u003e \u003cp\u003e\u003cb\u003e23. Routing for Statistical Inference in Sensor Networks\u003c\/b\u003e \u003ci\u003e(A. Anandkumar, A. Ephremides, A. Swami and L. Tong).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e23.1 Introduction.\u003c\/p\u003e \u003cp\u003e23.2 Spatial Data Correlation.\u003c\/p\u003e \u003cp\u003e23.3 Statistical Inference of Markov Random Fields.\u003c\/p\u003e \u003cp\u003e23.4 Optimal Routing for Inference with Local Processing.\u003c\/p\u003e \u003cp\u003e23.5 Conclusion and Future Work.\u003c\/p\u003e \u003cp\u003e23.6 Bibliographic Notes.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e24. Spectral Estimation in Cognitive Radios\u003c\/b\u003e \u003ci\u003e(Behrouz Farhang-Boroujeny).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e24.1 Filter Bank Formulation of Spectral Estimators.\u003c\/p\u003e \u003cp\u003e24.2 Polyphase Realization of Uniform Filter Banks.\u003c\/p\u003e \u003cp\u003e24.3 Periodogram Spectral Estimator.\u003c\/p\u003e \u003cp\u003e24.4 Multitaper Spectral Estimator.\u003c\/p\u003e \u003cp\u003e24.5 Filter Bank Spectral Estimator.\u003c\/p\u003e \u003cp\u003e24.6 Distributed Spectrum Sensing.\u003c\/p\u003e \u003cp\u003e24.7 Discussion.\u003c\/p\u003e \u003cp\u003e Appendix A: Effective Degree of Freedom.\u003c\/p\u003e \u003cp\u003eAppendix B: Explanation to the Results of Table 24.1.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e25. Nonparametric Techniques for Pedestrian Tracking in Wireless Local Area Networks\u003c\/b\u003e \u003ci\u003e(Azadeh Kushki and Kostas N. Plataniotis).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e25.1 Introduction.\u003c\/p\u003e \u003cp\u003e25.2 WLAN Positioning Architectures.\u003c\/p\u003e \u003cp\u003e25.3 Signal Models.\u003c\/p\u003e \u003cp\u003e25.4 Zero-Memory Positioning.\u003c\/p\u003e \u003cp\u003e25.5 Dynamic Positioning Systems.\u003c\/p\u003e \u003cp\u003e25.6 Cognition and Feedback.\u003c\/p\u003e \u003cp\u003e25.7 Tracking Example.\u003c\/p\u003e \u003cp\u003e25.8 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e26. Reconfigurable Self-Activating Ion-Channel-Based Biosensors\u003c\/b\u003e \u003ci\u003eVikram Krishnamurthy and Bruce Cornell).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e26.1 Introduction.\u003c\/p\u003e \u003cp\u003e26.2 Biosensors Built of Ion Channels.\u003c\/p\u003e \u003cp\u003e26.3 Joint Input Excitation and Concentration Classification for Biosensor.\u003c\/p\u003e \u003cp\u003e26.4 Decentralized Deployment of Dense Network of Biosensors.\u003c\/p\u003e \u003cp\u003e26.5 Discussion and Extensions.\u003c\/p\u003e \u003cp\u003eReferences. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e27. Biochemical Transport Modeling, Estimation and Detection in Realistic Environments\u003c\/b\u003e \u003ci\u003e(Mathias Ortner and Arye Nehorai ).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e27.1 Introduction.\u003c\/p\u003e \u003cp\u003e27.2 Physical and Statistical Models.\u003c\/p\u003e \u003cp\u003e27.3 Transport Modeling Using Monte Carlo Approximation.\u003c\/p\u003e \u003cp\u003e27.4 Localizing the Source(s).\u003c\/p\u003e \u003cp\u003e27.5 Sequential Detection.\u003c\/p\u003e \u003cp\u003e27.6 Conclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e28. Security and Privacy for Sensor Networks\u003c\/b\u003e \u003ci\u003e(Wade Trappe, Peng Ning and Adrian Perrig).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e28.1 Introduction.\u003c\/p\u003e \u003cp\u003e28.2 Security and Privacy Challenges.\u003c\/p\u003e \u003cp\u003e28.3 Ensuring  Integrity of Measurement Process.\u003c\/p\u003e \u003cp\u003e28.4 Availability Attacks against the Wireless Link.\u003c\/p\u003e \u003cp\u003e28.5 Ensuring Privacy of Routing Contexts.\u003c\/p\u003e \u003cp\u003e28.6 Conclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eIndex. \u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Brand New","offer_id":52276182024472,"sku":"9780470371763","price":143.87,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470371763.jpg?v=1781364933","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/handbook-on-array-processing-and-sensor-networks-hardback-9780470371763","provider":"Freshly Printed Books","version":"1.0","type":"link"}