Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Error Estimation of the Function by (Zrμ, r ≥1) Using Product Means (E,s)(N, pn,qn) of the Conjugate Fourier Series -- 1.1 Introduction -- 1.1.1 Definition 1 -- 1.1.2 Definition 2 -- 1.1.3 Definition 3 -- 1.2 Theorems -- 1.2.1 Theorem 1 -- 1.2.2 Theorem 2 -- 1.3 Lemmas -- 1.3.1 Lemma 1 -- 1.3.2 Lemma 2 -- 1.3.3 Lemma 3 -- 1.4 Proof of the Theorems -- 1.4.1 Proof of the Theorem 1 -- 1.4.2 Proof of the Theorem 2 -- 1.5 Corollaries -- 1.5.1 Corollary 1 -- 1.5.2 Corollary 2 -- 1.6 Example -- 1.7 Conclusion -- References -- Chapter 2 Blow Up and Decay of Solutions for a Klein-Gordon Equation With Delay and Variable Exponents -- 2.1 Introduction -- 2.2 Preliminaries -- 2.3 Blow Up of Solutions -- 2.4 Decay of Solutions -- Acknowledgment -- References -- Chapter 3 Some New Inequalities Via Extended Generalized Fractional Integral Operator for Chebyshev Functional -- 3.1 Introduction -- 3.2 Preliminaries -- 3.3 Fractional Inequalities for the Chebyshev Functional -- 3.4 Fractional Inequalities in the Case of Extended Chebyshev Functional -- 3.5 Some Other Fracional Inequalities Related to the Extended Chebyshev Functional -- 3.6 Concluding Remark -- References -- Chapter 4 Blow Up of the Higher-Order Kirchhoff-Type System With Logarithmic Nonlinearities -- 4.1 Introduction -- 4.2 Preliminaries -- 4.3 Blow Up for Problem for E (0) &lt -- d -- 4.4 Conclusion -- References -- Chapter 5 Developments in Post-Quantum Cryptography -- 5.1 Introduction -- 5.2 Modern-Day Cryptography -- 5.2.1 Symmetric Cryptosystems -- 5.2.2 Asymmetric Cryptosystems -- 5.2.3 Attacks on Modern Cryptosystems -- 5.2.3.1 Known Attacks -- 5.2.3.2 Side-Channel Attacks -- 5.3 Quantum Computing -- 5.3.1 The Main Aspects of Quantum Computing -- 5.3.2 Shor's Algorithm -- 5.3.3 Grover's Algorithm…”

Tabla de Contenidos: “…Behavior of Area Crossflow Rates -- 3.5. Analytical Solution of the Three-Layer Reservoir -- 3.5.1. …”

Tabla de Contenidos: “…-- A.3.9 Gaussian (Normal) -- A.3.10 Half-Normal (Folded Normal) -- A.3.11 Inverse Gaussian (Wald) -- A.3.12 Laplace (Double-Sided Exponential) -- A.3.13 Logistic (Sigmoid for {μ = 0, α = 1}) -- A.3.14 Log-Normal -- A.3.15 Maxwell-Boltzmann -- A.3.16 Pareto -- A.3.17 Rayleigh -- A.3.18 Rice -- A.3.19 Student's t Distribution -- A.3.20 Triangular -- A.3.21 Uniform (Continuous) -- A.3.22 Weibull -- A.4 Discrete Random Variables -- A.4.1 Bernoulli (with Support {0, 1}) -- A.4.2 Bernoulli (Symmetric with Support {-1, 1}) -- A.4.3 Binomial -- A.4.4 Geometric (with Support Z+) -- A.4.5 Geometric (Shifted with Support N)…”

Tabla de Contenidos: “…Intro -- Foreword -- Preface -- Pioneering Space-Borne SAR Interferometry -- Organising Airborne Polarimetric SAR Campaigns and Scientific Studies -- Dialoguing with POLinSAR Scientists and Training the Next Generation -- Pioneering Space-Borne SAR Polarimetric Interferometry -- Future Missions -- From Science to Applications -- Outlook -- In Memoriam -- Contents -- Symbols -- 1: Basic Principles of SAR Polarimetry -- 1.1 Theory of Radar Polarimetry -- 1.1.1 Wave Polarimetry -- 1.1.1.1 Electromagnetic Waves and Wave Polarization Descriptors -- 1.1.1.2 Totally and Partially Polarized Waves -- 1.1.1.3 Change of Polarization Basis -- 1.1.2 Scattering Polarimetry -- 1.1.2.1 The Scattering Matrix -- 1.1.2.2 Scattering Polarimetry Descriptors -- 1.1.2.3 Partial Scattering Polarimetry -- 1.1.2.4 Change of Polarization Basis -- 1.1.2.5 Scatterers Characterization by Single, Dual, Compact and Full Polarimetry -- 1.2 SAR Data Statistical Description and Speckle Noise Filtering -- 1.2.1 One-Dimensional Gaussian Distribution -- 1.2.2 Multidimensional Gaussian Distribution -- 1.2.3 The Wishart Distribution -- 1.2.4 The Polarimetric Covariance and Coherency Matrix -- 1.2.5 The Polarimetric Coherence -- 1.2.6 Polarimetric Speckle Noise Filtering -- 1.2.6.1 PolSAR Speckle Noise Filtering Principles -- 1.2.6.2 PolSAR Speckle Noise Filtering Alternatives -- 1.3 Polarimetric Scattering Decomposition Theorems -- 1.3.1 Coherent Scattering Decomposition Techniques -- 1.3.1.1 The Pauli Decomposition -- 1.3.2 Incoherent Scattering Decompositions Techniques -- 1.3.2.1 Three-Component Freeman Decomposition -- 1.3.2.2 Four-Component Yamaguchi Decomposition -- 1.3.2.3 Non-negative Eigenvalue Decomposition -- 1.3.2.4 Eigenvector-Eigenvalue-Based Decomposition -- 1.3.2.5 The Touzi Target Scattering Decompositions -- 1.4 Polarimetric SAR Interferometry…”

Tabla de Contenidos: “…Front Cover -- Estimation and Control of Large-Scale Networked Systems -- Copyright -- Contents -- Preface -- Acknowledgments -- Notation and Symbols -- 1 Introduction -- 1.1 A General View on Control System Design -- 1.2 Communication and Control -- 1.3 Book Contents -- 1.3.1 Controllability and Observability of a Control System -- 1.3.2 Centralized and Distributed State Estimations -- 1.3.3 State Estimations and Control With Imperfect Communications -- 1.3.4 Veri cation of Stability and Robust Stability -- 1.3.5 Distributed Controller Design for an LSS -- 1.3.6 Structure Identi cation for an LSS -- 1.3.7 Attack Estimation/Identi cation and Other Issues -- 1.4 Bibliographic Notes -- References -- 2 Background Mathematical Results -- 2.1 Linear Space and Linear Algebra -- 2.1.1 Vector and Matrix Norms -- 2.1.2 Hamiltonian Matrices and Distance Among Positive De nite Matrices -- 2.2 Generalized Inverse of a Matrix -- 2.3 Some Useful Transformations -- 2.4 Set Function and Submodularity -- 2.5 Probability and Random Process -- 2.6 Markov Process and Semi-Markov Process -- 2.7 Bibliographic Notes -- References -- 3 Controllability and Observability of an LSS -- 3.1 Introduction -- 3.2 Controllability and Observability of an LTI System -- 3.2.1 Minimal Number of Inputs/Outputs Guaranteeing Controllability/Observability -- 3.2.2 A Parameterization of Desirable Input/Output Matrices -- 3.2.3 Some Nitpicking -- 3.3 A General Model for an LSS -- 3.4 Controllability and Observability for an LSS -- 3.4.1 Subsystem Transmission Zeros and Observability of an LSS -- 3.4.2 Observability Veri cation -- 3.4.3 A Condition for Controllability and Its Veri cation -- 3.4.4 In/Out-degree and Controllability/Observability of a Networked System -- 3.5 Construction of Controllable/Observable Networked Systems -- 3.6 Bibliographic Notes -- Appendix 3.A…”

Tabla de Contenidos:

Tabla de Contenidos: “…Axioms of Light -- 3.3.2 Light and Light Perception -- 3.3.3 Light Sources for Machine Vision -- 3.3.4 The Light Sources in Comparison -- 3.3.5 Considerations for Light Sources: Lifetime, Aging, Drift -- 3.4 Interaction of Test Object and Light -- 3.4.1 Risk Factor Test Object -- 3.4.2 Light Color and Part Color -- 3.5 Basic Rules and Laws of Light Distribution -- 3.5.1 Basic Physical Quantities of Light -- 3.5.2 The Photometric Inverse Square Law -- 3.5.3 The Constancy of Luminance -- 3.5.4 What Light Arrives at the Sensor - Light Transmission Through the Lens -- 3.5.5 Light Distribution of Lighting Components -- 3.5.6 Contrast -- 3.5.7 Exposure -- 3.6 Light Filters -- 3.6.1 Characteristic Values of Light Filters -- 3.6.2 Influences of Light Filters on the Optical Path -- 3.6.3 Types of Light Filters -- 3.6.4 Anti-Reflective Coatings (AR) -- 3.6.5 Light Filters for Machine Vision -- 3.7 Lighting Techniques and Their Use -- 3.7.1 How to Find a Suitable Lighting? …”

Tabla de Contenidos:

Tabla de Contenidos: “…. -- Chapter 10: Creating Features from a Time Series with tsfresh -- Technical requirements -- Extracting features automatically from a time series -- Getting ready -- How to do it... -- How it works... -- See also -- Creating and selecting features for a time series -- How to do it... -- How it works... -- See also -- Tailoring feature creation to different time series -- How to do it... -- How it works... -- Creating pre-selected features -- How to do it... -- How it works... -- Embedding feature creation in a scikit-learn pipeline -- How to do it... -- How it works... -- See also -- Chapter 11: Extracting Features from Text Variables -- Technical requirements -- Counting characters, words, and vocabulary -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Estimating text complexity by counting sentences -- Getting ready -- How to do it... -- How it works... -- There's more... -- Creating features with bag-of-words and n-grams -- Getting ready -- How to do it... -- How it works... -- See also -- Implementing term frequency-inverse document frequency -- Getting ready -- How to do it... -- How it works... -- See also -- Cleaning and stemming text variables -- Getting ready -- How to do it... -- How it works... -- Index -- About Packt -- Other Books You May Enjoy…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Dedication -- Contributors -- Table of Contents -- Preface -- Chapter 1: An Introduction to Basic Packages, Functions, and Concepts -- Technical requirements -- Exploring Python numerical types -- Decimal type -- Fraction type -- Complex type -- Understanding basic mathematical functions -- Diving into the world of NumPy -- Element access -- Array arithmetic and functions -- Useful array creation routines -- Higher-dimensional arrays -- Working with matrices and linear algebra -- Basic methods and properties -- Matrix multiplication -- Determinants and inverses -- Systems of equations -- Eigenvalues and eigenvectors -- Sparse matrices -- Summary -- Further reading -- Chapter 2: Mathematical Plotting with Matplotlib -- Technical requirements -- Basic plotting with Matplotlib -- Getting ready -- How to do it... -- How it works... -- There's more... -- Adding subplots -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Plotting with error bars -- Getting ready -- How to do it... -- How it works... -- There's more... -- Saving Matplotlib figures -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Surface and contour plots -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Customizing three-dimensional plots -- Getting ready -- How to do it... -- How it works... -- There's more... -- Plotting vector fields with quiver plots -- Getting ready -- How to do it... -- How it works... -- There's more... -- Further reading -- Chapter 3: Calculus and Differential Equations -- Technical requirements -- Primer on calculus -- Working with polynomials and calculus -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Differentiating and integrating symbolically using SymPy -- Getting ready…”

Tabla de Contenidos: “…Generation System 592 -- 9.7.6 Evolution of 3G Systems 595 -- 9.7.7 WiMAX 599 -- 9.7.8 The Fourth-Generation System 600 -- 9.8 Wireless Local Area Network 600 -- 9.8.1 IEEE 802.11 Series 600 -- 9.8.2 Bluetooth 605 -- 9.8.3 UWB 605 -- 9.8.4 ZigBee 606 -- 9.8.5 BWN 606 -- 9.8.6 MBWA 608 -- Appendix 9.A Poisson Arrival Rates 608 -- References 609 -- Index 613.…”

Tabla de Contenidos:

Tabla de Contenidos: “…-- Fading animation clips in and out -- Crossfading between animation clips -- Adding multiple animation clips into one clip -- Blending between the binding pose and animation clip -- Enhancing the node class -- Updating the model class -- Adding the blend to the animation clip class -- Implementing animation blending in the OpenGL renderer -- Crossfading animations -- Upgrading the model classes -- Adjusting the OpenGL renderer -- Adding new controls to the user interface -- How to do additive blending -- Splitting the node skeleton - part I -- Splitting the node skeleton - part II -- Updating the animation clip class -- Finalizing additive blending in the OpenGL renderer -- Exposing the additive blending parameters in the user interface -- Summary -- Practical sessions -- Part 4: Advancing Your Code to the Next Level -- Chapter 12: Cleaning Up the User Interface -- Technical requirements -- UI controls are cool -- Creating combo boxes and radio buttons -- Implementing a combo box the C++ way -- Swapping the data types -- Filling the arrays for the combo boxes -- Fine-tuning selections with radio buttons -- Adjusting the renderer code -- Updating the model class -- Switching the control elements in the user interface -- Drawing time series with ImGui -- One ring buffer to rule them all -- Creating plots in ImGui -- Adding plots to the user interface -- Popping up a tooltip with the plot -- The sky is the limit -- Summary -- Practical sessions -- Additional resources -- Chapter 13: Implementing Inverse Kinematics -- Technical requirements -- What is Inverse Kinematics, and why do we need it? …”

Tabla de Contenidos: “…HYDROSTRUCTURE A PRELIMINARY NUMERICAL MODEL BASED ON THE EFFECTS OF 2016 SEISMIC SEQUENCE -- INFERRING DIFFERENT HYDROGEOCHEMICAL PROCESSES IN A COASTAL AQUIFER VIA FACTOR ANALYSIS -- DEPTH PROFILES OF HO, C, N AND S STABLE ISOTOPES IN A SHALLOW AQUIFER-AQUITARD BELOW AGRICULTURAL FIELDS REVEAL LARGE HYDROCHEMICAL HETEROGENEITIES IN CONTRASTING SOILS Nicolò Colombani, Ramon Aravena, Giuseppe Castaldelli, Micol Mastrocicco HYDROGEOCHEMISTRY AND NATURAL BACKGROUND LEVELS FOR THE GROUNDWATER BODY OF SELE RIVER PLAIN (SOUTHERN ITALY) -- EVALUATING CONJUNCTIVE USE OF GROUND-AND SURFACE-WATER AND CROP YIELD IN RURAL ENVIRONMENTS BY MEANS OF SIMULATION TOOLS -- PROMOTING WATER RESOURCE MANAGEMENT THROUGH THE USE OF ICT TOOLS AND PARTICIPATORY APPROACH -- THE VISTA PROJECT: A TEST SITE TO INVESTIGATE THE IMPACT OF TRADITIONAL AND PRECISION IRRIGATION ON GROUNDWATER (SAN GEMINI BASIN, CENTRAL ITALY) -- USE OF PIEZOMETRIC TIME SERIES FOR THE IDENTIFICATION OF GROUNDWATER HYDRODYNAMIC BEHAVIOURS AND CONTROLLING FACTORS: THE CASE STUDY OF THE PIEDMONT PLAIN (ITALY) -- IMPACT OF ENVIRONMENTAL, HYDRAULIC AND CONSTRUCTION PARAMETERS ON NITRATE REMOVAL RATE AND NITROUS OXIDE RELEASE OF DENITRIFICATION WALLS IN A SUBTROPICAL CLIMATE -- METHODS FOR THE ANALYSIS OF PIEZOMETRIC LEVEL EVOLUTION IN TIME AS RESPONSE OF CLIMATE CHANGE: CURRENT TRENDS AND RESOURCE STATUS IN PIEDMONT PLAIN (NW ITALY) -- STOCHASTIC ANALYSIS OF HYDRAULIC HEAD'S SERIES FOR OPTIMIZING MONITORING NETWORKS: APPLICATION TO THE BACCHIGLIONE BASIN -- STOCHASTIC ANALYSIS OF TEMPERATURES TIME SERIES FOR CHARACTERIZING A FLUVIAL WORK EFFICIENCY ON A REGIONAL MANAGED AQUIFER RECHARGE PILOT SITEHYDROGEOLOGICAL CONCEPTUAL MODEL OF LOESS DEPOSITS: A CASE STUDY FROM EASTERN CROATIA -- MULTI-TECHNIQUE GROUNDWATER FLOW SYSTEM ANALYSIS AND DATING OF A DEEP AQUIFER IN ALESSANDRIA BASIN (PIEDMONT)HYDROLOGICAL BEHAVIOUR OF A COMPLEX LANDSLIDE: A CASE STUDY IN THE NORTHERN APENNINES (ITALY) -- GROUNDWATER MODELLING IN SUPPORT OF WATER RESOURCES PUBLIC MANAGEMENT WITHIN THE METROPOLITAN AREA OF MILAN -- MANAGED AQUIFER RECHARGE AS A SOLUTION TO COPE WITH WATER SCARCITY: THE LIFE REWAT SUVERETO INFILTRATION BASIN -- WATER MANAGEMENT IN LIMPOPO NATIONAL PARK AREA -- GROUNDWATER AND SURFACE WATER QUALITY CHARACTERIZATION WITH POSITIVE MATRIX FACTORIZATION -- FRACTURED ROCKS AND KARSTIC SYSTEMS -- METHODOLOGICAL APPROACH FOR INVESTIGATION IN KARST HYDROGEOLOGY -- HYDROGEOCHEMICAL MONITORING OF NATURAL WATERS FROM CENTRAL APENNINES, ITALY: MULTIPARAMETRIC ACQUISITION AND PROCESSING TO IDENTIFY POSSIBLE SEISMIC PRECURSORS -- MULTIDISCIPLINARY GEOPHYSICAL SURVEYS FOR 3D HYDROGEOLOGICAL CONCEPTUAL MODEL RECONSTRUCTION IN AREAS CONTAMINATED BY FLUORIDE IN NAKURU AREA, EAST AFRICAN RIFT SYSTEM (KENYA) -- STATISTICAL ANALYSIS OF THE IMPACT OF SNOW MELTING AND RAINFALL RECHARGE ON THE DISCHARGE AND PHYSICO-CHEMICAL CHARACTERISTICS OF THE VERDE SPRING (CENTRAL APENNINES) -- Alessandro Chiaudani, Diego Di Curzio, Sergio Rusi -- NEW HYDROLOGICAL AND ISOTOPIC SURVEYS ON THE POIANO KARST SYSTEM -- A SIMPLE GRAPHICAL METHOD TO VISUALIZE THE END-MEMBER FRACTIONS IN A THREE-COMPONENT GROUNDWATER MIXING: THE EXAMPLE OF FERRARELLE SYSTEM (RIARDO, SOUTHERN ITALY) -- RESULTS OF A RESEARCH REGARDING SPRINGS WHICH FOLLOW THE HYPERBOLIC RECESSION FUNCTION WITH N 1-- LONG-TERM HYDROGEOLOGICAL IMPACTS OF THE "FIRENZUOLA" HIGH-SPEED RAILWAY TUNNEL (NORTHERN APENNINES) -- THE UPWELLING GROUNDWATER FLOW IN THE KARST AREA OF GRASSANO-TELESE SPRINGS (SOUTHERN ITALY) -- RESPONSE OF THE MAIN SPRINGS OF THE SIBILLINI MOUNTAINS AREA TO THE 2016-2017 SEISMIC SEQUENCE -- PROCESS-BASED RESOURCE VULNERABILITY ASSESSMENT ON THE EXAMPLE OF GOMOR-TORNA KARST, HUNGARY AND SLOVAKIA -- THE IMPACT OF GEOMORPHOLOGIC STRUCTURE ON RAIN WATER INFILTRATION AND GROUNDWATER RECHARGE IN SEMI-ARID ZONE -- SPRING DISCHARGE MONITORING NETWORK IN A HIGH-ALPINE SETTING: AN EXAMPLE FROM THE PALE DI SAN MARTINO (DOLOMITES MOUNTAINS, ITALY) -- THE PILATO LAKE (SIBELLINI MTS, CENTRAL ITALY): FIRST RESULTS OF A STUDY ON THE SUPPOSED VARIATIONS OF ITS HYDROGEOLOGICAL CONDITIONS INDUCED BY THE SEISMIC SEQUENCE 2016-2017 -- HYDROGEOLOGICAL MODELS OF POTENTIAL SITES FOR A DEEP GEOLOGICAL REPOSITORY IN THE CZECH REPUBLIC AS PART OF THE SITE SELECTION PROCESS -- GROUNDWATER FLOW IN THE ISCHIA VOLCANO AND IMPLICATIONS OF THERMAL WATER WITHDRAWALS -- GREY-BOX DATA DRIVEN BASED METHOD FOR KARST SPRING DISCHARGE EVALUATION -- DISCHARGE MEASUREMENTS BASED ON TRACER DILUTION METHOD APPLIED TO THE HYDROGEOLOGICAL STUDY OF KARST SPRINGS IN THE MOUNT ALBO AREA (SARDINIA NE) -- A DETAILED GEOLOGICAL RECONSTRUCTION AS A TOOL FOR THE RELIABLE NUMERICAL MODEL IMPLEMENTATION: THE EUGANEAN GEOTHERMAL SYSTEM CASE STUDY (NE ITALY) -- KARST CONNECTIVITY IDENTIFICATION: COMBINING A LONG-LASTING CROSS-HOLE HYDRAULIC TEST AND THE STOCHASTIC INVERSION FOR LARGE-SCALE AQUIFER CHARACTERIZATION -- HYDROLOGIC BALANCE ESTIMATION IN THE MUCILLE (NE ITALY) TEST SITE -- THE LATERAL GROUNDWATER EXCHANGES FROM MT. …”

Tabla de Contenidos: “…EL PECADO ORIGINAL DE ADAM SMITH2 -- DICHO DE OTRA MANERA, SMITH ESTUDIÓ LA PRODUCCIÓN DE LA RIQUEZA, PERO DESCUIDÓ EL ANÁLISIS DE LA DISTRIBUCIÓN DE ESTA. -- Y CRISIS ECONÓMICAS -- 7.2. -- 7.3. KEYNESIANISMO Y HUMANISMO3 -- LA PROPENSIÓN AL CONSUMO ES UNA FUNCIÓN, UNA SERIE COMPLETA DE VALORES PARA LOS DIFERENTES NIVELES DE RENTA Y KEYNES SUPONÍA QUE -- LA PROPENSIÓN AL CONSUMO, EL DESEO DE ACTIVOS LÍQUIDOS Y LA TASA DE BENEFICIOS ESPERADA DE LAS NUEVAS INVERSIONES -- 7.4. …”

Tabla de Contenidos: “…-- Preface xv -- 1 Introduction 1 -- 1.1 Vision: “Big Data” 1 -- 1.2 Cognitive Radio: System Concepts 2 -- 1.3 Spectrum Sensing Interface and Data Structures 2 -- 1.4 Mathematical Machinery 4 -- 1.4.1 Convex Optimization 4 -- 1.4.2 Game Theory 6 -- 1.4.3 “Big Data” Modeled as Large Random Matrices 6 -- 1.5 Sample Covariance Matrix 10 -- 1.6 Large Sample Covariance Matrices of Spiked Population Models 11 -- 1.7 Random Matrices and Noncommutative Random Variables 12 -- 1.8 Principal Component Analysis 13 -- 1.9 Generalized Likelihood Ratio Test (GLRT) 13 -- 1.10 Bregman Divergence for Matrix Nearness 13 -- 2 Spectrum Sensing: Basic Techniques 15 -- 2.1 Challenges 15 -- 2.2 Energy Detection: No Prior Information about Deterministic or Stochastic Signal 15 -- 2.2.1 Detection in White Noise: Lowpass Case 16 -- 2.2.2 Time-Domain Representation of the Decision Statistic 19 -- 2.2.3 Spectral Representation of the Decision Statistic 19 -- 2.2.4 Detection and False Alarm Probabilities over AWGN Channels 20 -- 2.2.5 Expansion of Random Process in Orthonormal Series with Uncorrelated Coefficients: The Karhunen-Loeve Expansion 21 -- 2.3 Spectrum Sensing Exploiting Second-Order Statistics 23 -- 2.3.1 Signal Detection Formulation 23 -- 2.3.2 Wide-Sense Stationary Stochastic Process: Continuous-Time 24 -- 2.3.3 Nonstationary Stochastic Process: Continuous-Time 25 -- 2.3.4 Spectrum Correlation-Based Spectrum Sensing for WSS Stochastic Signal: Heuristic Approach 29 -- 2.3.5 Likelihood Ratio Test of Discrete-Time WSS Stochastic Signal 32 -- 2.3.6 Asymptotic Equivalence between Spectrum Correlation and Likelihood Ratio Test 35 -- 2.3.7 Likelihood Ratio Test of Continuous-Time Stochastic Signals in Noise: Selin's Approach 36 -- 2.4 Statistical Pattern Recognition: Exploiting Prior Information about Signal through Machine Learning 39 -- 2.4.1 Karhunen-Loeve Decomposition for Continuous-Time Stochastic Signal 39 -- 2.5 Feature Template Matching 42 -- 2.6 Cyclostationary Detection 47 -- 3 Classical Detection 51.…”

Tabla de Contenidos: “…Wong -- On the overall stability and convergence of single-step integration schemes for ordinary differential equations / John W. Carr, III -- Generated error in the solution of certain linear difference equations / Alston S. …”