LEADER 01244nam--2200385---450- 001 990001125620203316 005 20090518171417.0 010 $a84-7676-820-6 035 $a000112562 035 $aUSA01000112562 035 $a(ALEPH)000112562USA01 035 $a000112562 100 $a20030117d2001----km-y0enga50------ba 101 0 $aspa 102 $aES 105 $ay|||z|||001yy 200 1 $aDerecho penal$fA. Calderón Cerezo, J.A. Choclán Montalvo 205 $a2. ed aggiornata a marzo 2001 210 $aBarcelona$cBosch$d2001 215 $av.$d23 cm 327 $aT.I.: Parte general : adaptado al programa de la pruebas selectivas para ingreso en las Carreras Judicial y Fiscal. - 672 p. 606 0 $aDiritto penale$ySpagna 676 $a345.46 700 1$aCALDERÓN CEREZO,$bJ.A.$0554707 801 0$aIT$bSalbc$cISBD 912 $a990001125620203316 951 $aXXVI.1.D 25.1 (IG XI 771)$b34802 G$cXXVI.1.D 25.1 (IG XI)$d00094593 959 $aBK 969 $aGIA 979 $aPATRY$b90$c20030117$lUSA01$h0937 979 $aCHIARA$b90$c20030404$lUSA01$h1350 979 $aPATRY$b90$c20040406$lUSA01$h1718 979 $aRSIAV1$b90$c20090518$lUSA01$h1714 996 $aDerecho penal$9981926 997 $aUNISA LEADER 05311nam 2201153Ia 450 001 9910782957103321 005 20230207223412.0 010 $a0-520-93002-9 010 $a1-282-35713-1 010 $a9786612357138 010 $a1-4175-4075-3 024 7 $a10.1525/9780520930025 035 $a(CKB)1000000000005334 035 $a(EBL)224474 035 $a(OCoLC)56607521 035 $a(SSID)ssj0000205580 035 $a(PQKBManifestationID)11954511 035 $a(PQKBTitleCode)TC0000205580 035 $a(PQKBWorkID)10193910 035 $a(PQKB)10783274 035 $a(MiAaPQ)EBC224474 035 $a(DE-B1597)519236 035 $a(DE-B1597)9780520930025 035 $a(Au-PeEL)EBL224474 035 $a(CaPaEBR)ebr10064749 035 $a(CaONFJC)MIL235713 035 $a(EXLCZ)991000000000005334 100 $a20031224d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMore damned lies and statistics$b[electronic resource] $ehow numbers confuse public issues /$fJoel Best 210 $aBerkeley $cUniversity of California Press$d2004 215 $a1 online resource (222 p.) 300 $aDescription based upon print version of record. 311 $a0-520-23830-3 320 $aIncludes bibliographical references and index. 327 $aMissing numbers -- Confusing numbers -- Scary numbers -- Authoritative numbers -- Contentious numbers -- Toward statistical literacy? 330 $aIn this sequel to the acclaimed Damned Lies and Statistics, which the Boston Globe said "deserves a place next to the dictionary on every school, media, and home-office desk," Joel Best continues his straightforward, lively, and humorous account of how statistics are produced, used, and misused by everyone from researchers to journalists. Underlining the importance of critical thinking in all matters numerical, Best illustrates his points with examples of good and bad statistics about such contemporary concerns as school shootings, fatal hospital errors, bullying, teen suicides, deaths at the World Trade Center, college ratings, the risks of divorce, racial profiling, and fatalities caused by falling coconuts. More Damned Lies and Statistics encourages all of us to think in a more sophisticated and skeptical manner about how statistics are used to promote causes, create fear, and advance particular points of view. Best identifies different sorts of numbers that shape how we think about public issues: missing numbers are relevant but overlooked; confusing numbers bewilder when they should inform; scary numbers play to our fears about the present and the future; authoritative numbers demand respect they don't deserve; magical numbers promise unrealistic, simple solutions to complex problems; and contentious numbers become the focus of data duels and stat wars. The author's use of pertinent, socially important examples documents the life-altering consequences of understanding or misunderstanding statistical information. He demystifies statistical measures by explaining in straightforward prose how decisions are made about what to count and what not to count, what assumptions get made, and which figures are brought to our attention. Best identifies different sorts of numbers that shape how we think about public issues. Entertaining, enlightening, and very timely, this book offers a basis for critical thinking about the numbers we encounter and a reminder that when it comes to the news, people count-in more ways than one. 606 $aSociology$xStatistical methods 606 $aSocial problems$xStatistical methods 606 $aSocial indicators 610 $aargumentation. 610 $abullying. 610 $acollege ratings. 610 $acrime. 610 $acritical thinking. 610 $adata duels. 610 $adata. 610 $ademocracy. 610 $adivorce. 610 $aeconomics. 610 $aevidence. 610 $afear. 610 $ahealth care. 610 $ahistory. 610 $ahospital errors. 610 $ainformed opinion. 610 $ainnumeracy. 610 $ajournalism. 610 $ajustice system. 610 $alegal system. 610 $amath. 610 $amathematics. 610 $amedia. 610 $anews. 610 $anonfiction. 610 $apolitical economy. 610 $apolitical science. 610 $apolitics. 610 $apopular culture. 610 $apsychology. 610 $aracial profiling. 610 $areasoning. 610 $aresearch stats. 610 $aresearch. 610 $arhetoric. 610 $aschool shooting. 610 $asciences. 610 $asocial issues. 610 $astat wars. 610 $astatistical measures. 610 $astatistics. 610 $astats. 610 $ateen suicide. 615 0$aSociology$xStatistical methods. 615 0$aSocial problems$xStatistical methods. 615 0$aSocial indicators. 676 $a303.3/8 700 $aBest$b Joel$0477506 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910782957103321 996 $aMore damned lies and statistics$9752722 997 $aUNINA LEADER 12811nam 2200793 450 001 9910830400203321 005 20230125212602.0 010 $a1-282-54932-4 010 $a9786612549328 010 $a1-61344-501-6 010 $a0-470-48706-2 010 $a0-470-48705-4 024 7 $a10.1002/9780470487068 035 $a(CKB)2670000000009579 035 $a(EBL)487646 035 $a(SSID)ssj0000338466 035 $a(PQKBManifestationID)11231195 035 $a(PQKBTitleCode)TC0000338466 035 $a(PQKBWorkID)10312444 035 $a(PQKB)10205854 035 $a(MiAaPQ)EBC487646 035 $a(CaBNVSL)mat05493575 035 $a(IDAMS)0b000064812a470e 035 $a(IEEE)5493575 035 $a(CaSebORM)9780470371763 035 $a(OCoLC)612192900 035 $a(PPN)272006742 035 $a(EXLCZ)992670000000009579 100 $a20100812h20152009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHandbook on array processing and sensor networks /$f[edited by] Simon Haykin, K.J. Ray Liu 205 $a1st edition 210 1$a[Piscataway, New Jersey] :$cIEEE,$dc2009 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2010] 215 $a1 online resource (924 p.) 225 1 $aAdaptive and learning systems for signal processing, communications and control series ;$v64 300 $aDescription based upon print version of record. 311 $a0-470-37176-5 320 $aIncludes bibliographical references and index. 327 $aPreface (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). 327 $a7.1 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. 327 $a13. 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. 327 $a18.4 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. 327 $a24.3 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. 330 $aA handbook on recent advancements and the state of the art in array processing and sensor Networks Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks. Focusing on fundamental principles as well as applications, the handbook provides exhaustive coverage of: wavelets; spatial spectrum estimation; MIMO radio propagation; robustness issues in sensor array processing; wireless communications and sensing 410 0$aAdaptive and learning systems for signal processing, communications and control series ;$v64 606 $aSensor networks 606 $aAntenna arrays 606 $aArray processors 615 0$aSensor networks. 615 0$aAntenna arrays. 615 0$aArray processors. 676 $a621.382/4 676 $a621.3822 676 $a621.3824 700 $aHaykin$b Simon S.$f1931-$08857 701 $aLiu$b K. J. 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