Tabla de Contenidos: “…Bayesian versus non-Bayesian; 2.4.2. A priori versus reference measure; Chapter 3.Random Sets for Texture Analysis; 3.1. …”

Tabla de Contenidos: “….); 1.4.2 CANALES DE INFORMACIÓN; 1.5 RELACIONES ENTRE LAS PROBABILIDADES (...); 1.6 ENTROPÍAS A PRIORI Y A POSTERIORI; 1.7 INFORMACIÓN MUTUA; 1.7.1 INFORMACIÓN MUTUA. …”

Tabla de Contenidos: “…Sobre los sentidos -- Capítulo 4. Del conocimiento a priori -- SEGUNDA MITAD: LA DOCTRINA DE LA REPRESENTACIÓN ABSTRACTA O EL PENSAMIENTO -- Capítulo 5. …”

Tabla de Contenidos: “…Reflexiones a partir de Kant / Por qué Kant no puede ser un utilitarista : contra Hare / Kant y el comunitarismo : el significado de la racionalidad práctica y del proyecto moderno de fundamentación de la moral / La potencialidad de la teoría ética Kantiana : el desarrollo de un marco ético-empresarial normativo / Naturaleza y libertad a la luz del juicio estético en Kant / Las perspectivas científicas y epistemológicas del juicio teleológico en Kant / El "a priori" de la corporalidad en el "opus postumum" / Nuevas perspectivas en la recepción de la crítica del juicio : la autonomía del arte y la herencia Kantiana de la estética hermenéutica / La construcción de la intersubjetividad estética en la Kritik der Urteilskraft / Más allá del mero ámbito de lo fenoménico : la relación de la práctica científica con la realidad moral en la Kritik der Urteilskraft de Kant / Immanuel Kant. …”

Accés lliure

“…En este libro, a partir de experiencias y experimentos precisos, se propone un procedimiento base para la construcción de un framework, con las actividades necesarias para el entrenamiento y la evaluación de modelos de machine learning, útil para: detectar malware en dispositivos con sistema operativo Android e identificar a priori aplicaciones web maliciosas…”

“…No nos podemos contentar con ideas a priori ni con impresiones subjetivas. A. Vanhoye busca luz en los textos del nuevo testamento que hablan de los sacerdotes y del sacerdocio. …”

Tabla de Contenidos: “…-- 9.8 Logistic Regression -- Chapter 10 Numerical Analysis and Montecarlo Simulations -- 10.1 System Identification and Channel Estimation -- 10.1.1 Matlab Code and Results -- 10.2 Frequency Estimation -- 10.2.1 Variable (Coarse/Fine) Sampling -- 10.2.2 Local Parabolic Regression -- 10.2.3 Matlab Code and Results -- 10.3 Time of Delay Estimation -- 10.3.1 Granularity of Sampling in ToD Estimation -- 10.3.2 Matlab Code and Results -- 10.4 Doppler-Radar System by Frequency Estimation -- 10.4.1 EM Method -- 10.4.2 Matlab Code and Results -- Chapter 11 Bayesian Estimation -- 11.1 Additive Linear Model with Gaussian Noise -- 11.1.1 Gaussian A-priori: θN(,σθ2) -- 11.1.2 Non-Gaussian A-Priori -- 11.1.3 Binary Signals: MMSE vs. …”

Tabla de Contenidos: “…About the Authors -- OtherWiley and IEEE Press Books on Related Topics -- Acknowledgments -- Preface -- List of Symbols -- 1 Introduction to OFDM and MIMO-OFDM -- 1.1 OFDM History -- 1.2 OFDM Schematic -- 1.3 Channel Estimation for Multicarrier -- 1.5 Signal Detection in MIMO-OFDM Systems -- 1.6 Iterative Signal Processing for SDM-OFDM -- 1.7 System Model -- 1.8 SDM-OFDM System Model -- 1.9 Novel Aspects and Outline of the Book -- 1.10 Chapter Summary -- 2 OFDM Standards -- 2.1 Wi-Fi -- 2.2 3GPP Long-Term Evolution -- 2.3 WiMAX Evolution -- 2.4 Chapter Summary -- I Coherently Detected SDMA-OFDM Systems -- 3 Channel Coding Assisted STBC-OFDM Systems -- 3.1 Introduction -- 3.2 Space-Time Block Codes -- 3.3 Channel Coded Space-Time Block Codes -- 3.4 Channel Coding Aided Space-Time Block Coded OFDM -- 3.5 Chapter Summary -- 4 Coded Modulation Assisted Multi-User SDMA-OFDM Using Frequency-Domain Spreading -- 4.1 Introduction -- 4.2 System Model -- 4.3 Simulation Results -- 4.4 Chapter Summary -- 5 Hybrid Multi-User Detection for SDMA-OFDM Systems -- 5.1 Introduction -- 5.2 Genetical Algorithm Assisted Multi-User Detection -- 5.3 Enhanced GA-based Multi-User Detection -- 5.4 Chapter Summary -- 6 DS-Spreading and Slow Subcarrier-Hopping Aided Multi-User SDMA-OFDM Systems -- 6.1 Conventional SDMA-OFDM Systems -- 6.2 Introduction to Hybrid SDMA-OFDM -- 6.3 Subband-Hopping Versus Subcarrier-Hopping -- 6.4 System Architecture -- 6.5 Simulation Results -- 6.6 Complexity Issues -- 6.7 Conclusions -- 6.8 Chapter Summary -- 7 Channel Estimation for OFDM and MC-CDMA -- 7.1 Pilot-Assisted Channel Estimation -- 7.2 Decision Directed Channel Estimation -- 7.3 A Posteriori FD-CTF Estimation -- 7.4 A Posteriori CIR Estimation -- 7.5 Parametric FS-CIR Estimation -- 7.6 Time-Domain A Priori CIR Tap Prediction -- 7.7 PASTD Aided DDCE -- 7.8 Channel Estimation for MIMO-OFDM -- 8 Iterative Joint Channel Estimation and MUD for SDMA-OFDM Systems -- 8.1 Introduction -- 8.2 System Overview -- 8.3 GA-assisted Iterative Joint Channel Estimation and MUD…”

“…En este libro, a partir de experiencias y experimentos precisos, se propone un procedimiento base para la construcción de un framework, con las actividades necesarias para el entrenamiento y la evaluación de modelos de machine learning, útil para: detectar malware en dispositivos con sistema operativo Android e identificar a priori aplicaciones web maliciosas…”
Enlace del recurso

“…The book demonstrates to what extent service quality and adoption theories of consumer behavior literature explain the (repeated) usage of mobile services, and how the results differ by user segments. A-priori and a-posteriori segmentations provide detailed insights. …”

“…Le phénomène étant pluriel, il convenait ici de le contextualiser et de l’historiciser, pour mieux saisir, dans chaque cas examiné, la tension pouvant naître de la notion même de voyage pour celui qui, par sa vocation, renonce a priori à tout dépaysement hors celui que lui offre son cloître. …”

Tabla de Contenidos: “…-- Complementary policies to ease transition costs -- Effects on types of workers and on wages remain outside of the scope of this study -- Notes -- References -- 4 Induced investment through environmental policies -- Background -- Environmental policies need to incentivise investment in carbon-saving production processes -- Environmental policies may reduce investment through output reductions -- The net effect on investment is unclear a priori -- Investment effects depend on the substitutability of inputs -- The effects on domestic and foreign investment are potentially heterogeneous -- The literature is inconclusive so far -- This study: the first large-scale panel analysis with heterogeneous effects across sectors -- Empirical set-up -- Capital demand derived from a three-factor production function -- Empirical model -- Identification of the effect -- Data -- Results -- Total investment goes down, but the effect is heterogeneous -- Policy-driven price increases seem to trigger investment effect -- Dirty sectors are more sensitive to price changes, particularly in times of high energy price levels…”

Tabla de Contenidos: “…Checklist: Evaluating a Purpose Statement -- Dividing the Main Research Problem or Question into Smaller, More Manageable Parts -- Characteristics of Subproblems -- Identifying Subproblems -- Taking a Paper-and-Pencil Approach -- Using Mind-Mapping (Brainstorming) Software -- Every Research Problem or Question Needs Further Delineation -- Identifying a Relevant Theoretical or Conceptual Framework -- Stating Hypotheses -- Distinguishing Between Research Hypotheses and Null Hypotheses in Quantitative Research -- Identifying the General Concepts and Possibly Also Specific Variables That Are the Focus of the Investigation -- Conceptual Analysis Exercise: Identifying Independent, Dependent, Mediating, and Moderating Variables -- Defining Terms -- Stating Assumptions -- Identifying Delimitations and Limitations -- Importance of the Study -- Writing the First Chapter or Section of a Research Proposal -- Practical Application: Writing the First Section of a Research Proposal -- Checklist: Evaluating Your Proposed Research Project -- Practical Application: Reappraising a Proposed Research Problem -- Guidelines: Fine-Tuning Your Research Problem or Question -- Example of a Purpose Statement, Research Questions, and a Priori Hypotheses -- Analysis Of A Student Research Report 1 -- Summary -- For Further Reading -- Answers To The Conceptual Analysis Exercise: "Identifying Independent, Dependent, Mediating, and Moderating Variables -- Chapter 3. …”

Tabla de Contenidos: “…4.2.1 DFT-Based Analysis Synthesis with Perfect Reconstruction 55 -- 4.2.2 Probability Distributions for Speech and Noise DFT Coefficients 57 -- 4.3 Voice Activity Detection 58 -- 4.3.1 VAD Design Principles 58 -- 4.3.2 Evaluation of VAD Performance 62 -- 4.3.3 Evaluation in the Context of ASR 62 -- 4.4 Noise Power Spectrum Estimation 65 -- 4.4.1 Smoothing Techniques 65 -- 4.4.2 Histogram and GMM Noise Estimation Methods 67 -- 4.4.3 Minimum Statistics Noise Power Estimation 67 -- 4.4.4 MMSE Noise Power Estimation 68 -- 4.4.5 Estimation of the A Priori Signal-to-Noise Ratio 69 -- 4.5 Adaptive Filters for Signal Enhancement 71 -- 4.5.1 Spectral Subtraction 71 -- 4.5.2 Nonlinear Spectral Subtraction 73 -- 4.5.3 Wiener Filtering 74 -- 4.5.4 The ETSI Advanced Front End 75 -- 4.5.5 Nonlinear MMSE Estimators 75 -- 4.6 ASR Performance 80 -- 4.7 Conclusions 81 -- References 82 -- 5 Extraction of Speech from Mixture Signals 87 / Paris Smaragdis -- 5.1 The Problem with Mixtures 87 -- 5.2 Multichannel Mixtures 88 -- 5.2.1 Basic Problem Formulation 88 -- 5.2.2 Convolutive Mixtures 92 -- 5.3 Single-Channel Mixtures 98 -- 5.3.1 Problem Formulation 98 -- 5.3.2 Learning Sound Models 100 -- 5.3.3 Separation by Spectrogram Factorization 101 -- 5.3.4 Dealing with Unknown Sounds 105 -- 5.4 Variations and Extensions 107 -- 5.5 Conclusions 107 -- References 107 -- 6 Microphone Arrays 109 / John McDonough, Kenichi Kumatani -- 6.1 Speaker Tracking 110 -- 6.2 Conventional Microphone Arrays 113 -- 6.3 Conventional Adaptive Beamforming Algorithms 120 -- 6.3.1 Minimum Variance Distortionless Response Beamformer 120 -- 6.3.2 Noise Field Models 122 -- 6.3.3 Subband Analysis and Synthesis 123 -- 6.3.4 Beamforming Performance Criteria 126 -- 6.3.5 Generalized Sidelobe Canceller Implementation 129 -- 6.3.6 Recursive Implementation of the GSC 130 -- 6.3.7 Other Conventional GSC Beamformers 131 -- 6.3.8 Beamforming based on Higher Order Statistics 132 -- 6.3.9 Online Implementation 136 -- 6.3.10 Speech-Recognition Experiments 140.…”

Tabla de Contenidos: “…5.2.3 GPS Modernization Comprising Block IIM, Block IIF, and Block III -- 5.2.3.1 Introducing Binary Offset Carrier (BOC) Modulation -- 5.2.3.2 Civil L2C Codes -- 5.2.3.3 Civil L5 Code -- 5.2.3.4 M-Code -- 5.2.3.5 Civil L1C Code -- 5.3 GLONASS -- 5.4 Galileo -- 5.5 QZSS -- 5.6 Beidou -- 5.7 IRNSS -- 5.8 SBAS: WAAS, EGNOS, GAGAN, MSAS, and SDCM -- Chapter 6 GNSS Positioning Approaches -- 6.1 Observables -- 6.1.1 Undifferenced Functions -- 6.1.1.1 Pseudoranges -- 6.1.1.2 Carrier Phases -- 6.1.1.3 Range plus Ionosphere -- 6.1.1.4 Ionospheric-Free Functions -- 6.1.1.5 Ionospheric Functions -- 6.1.1.6 Multipath Functions -- 6.1.1.7 Ambiguity-Corrected Functions -- 6.1.1.8 Triple-Frequency Subscript Notation -- 6.1.2 Single Differences -- 6.1.2.1 Across-Receiver Functions -- 6.1.2.2 Across-Satellite Functions -- 6.1.2.3 Across-Time Functions -- 6.1.3 Double Differences -- 6.1.4 Triple Differences -- 6.2 Operational Details -- 6.2.1 Computing the Topocentric Range -- 6.2.2 Satellite Timing Considerations -- 6.2.2.1 Satellite Clock Correction and Timing Group Delay -- 6.2.2.2 Intersignal Correction -- 6.2.3 Cycle Slips -- 6.2.4 Phase Windup Correction -- 6.2.5 Multipath -- 6.2.6 Phase Center Offset and Variation -- 6.2.6.1 Satellite Phase Center Offset -- 6.2.6.2 User Antenna Calibration -- 6.2.7 GNSS Services -- 6.2.7.1 IGS -- 6.2.7.2 Online Computing -- 6.3 Navigation Solution -- 6.3.1 Linearized Solution -- 6.3.2 DOPs and Singularities -- 6.3.3 Nonlinear Closed Solution -- 6.4 Relative Positioning -- 6.4.1 Nonlinear Double-Difference Pseudorange Solution -- 6.4.2 Linearized Double- and Triple-Differenced Solutions -- 6.4.3 Aspects of Relative Positioning -- 6.4.3.1 Singularities -- 6.4.3.2 Impact of a Priori Position Error -- 6.4.3.3 Independent Baselines -- 6.4.3.4 Antenna Swap Technique -- 6.4.4 Equivalent Undifferenced Formulation…”

Tabla de Contenidos: “…Domain Equalizer 418 -- 7.3.8 Turbo Equalizer 419 -- 7.3.9 Discussions on Equalization 419 -- 7.3.10 Applications to a Mobile Radio Channel 421 -- 7.4 Error Control Techniques 422 -- 7.4.1 Linear Block Codes 424 -- 7.4.2 Cyclic Codes 426 -- 7.4.3 Convolutional Codes 429 -- 7.4.4 Concatenated Codes 430 -- 7.4.5 Turbo Codes 430 -- 7.4.6 LDPC Code 444 -- 7.4.7 A Phenomenological Expression of the a Priori -- Probability and Error Rates 449 -- 7.4.8 ARQ 452 -- 7.4.9 Applications to Mobile Radio Channels 453 -- 7.5 Trellis?]…”

Tabla de Contenidos: “…7.7.2 Whitening in the Frequency Domain 136 -- 7.8 Bibliographical Notes 136 -- 8 Data Detection 137 -- 8.1 Symbol-by-Symbol Detection in ICI-Ignorant OFDM Systems 139 -- 8.1.1 Single-Input Single-Output Channel 139 -- 8.1.2 Single-Input Multi-Output Channel 140 -- 8.2 Block-Based Data Detection in ICI-Aware OFDM Systems 141 -- 8.2.1 MAP Equalizer 142 -- 8.2.2 Linear MMSE Equalizer with A Priori Information 142 -- 8.2.3 Extension to the Single-Input Multi-Output Channel 145 -- 8.3 Data Detection for OFDM Systems with Banded ICI 145 -- 8.3.1 BCJR Algorithm and Log-MAP Implementation 145 -- 8.3.2 Factor-Graph Algorithm with Gaussian Message Passing 148 -- 8.3.3 Computations related to Gaussian Messages 149 -- 8.3.4 Extension to SIMO Channel 150 -- 8.4 Symbol Detectors for MIMO OFDM 151 -- 8.4.1 ICI-Ignorant MIMO OFDM 151 -- 8.4.2 Full-ICI Equalization 152 -- 8.4.3 Banded-ICI Equalization 152 -- 8.5 MCMC Method for Data Detection in MIMO OFDM 153 -- 8.5.1 MCMC Method for ICI-Ignorant MIMO Detection 153 -- 8.5.2 MCMC Method for Banded-ICI MIMO Detection 154 -- 8.6 Bibliographical Notes 155 -- 9 OFDM Receivers with Block-by-Block Processing 157 -- 9.1 Noniterative ICI-Ignorant Receiver 158 -- 9.1.1 Noniterative ICI-Ignorant Receiver Structure 158 -- 9.1.2 Simulation Results: ICI-Ignorant Receiver 159 -- 9.1.3 Experimental Results: ICI-Ignorant Receiver 160 -- 9.2 Noniterative ICI-Aware Receiver 161 -- 9.2.1 Noniterative ICI-Aware Receiver Structure 162 -- 9.2.2 Simulation Results: ICI-Aware Receiver 163 -- 9.2.3 Experimental Results: ICI-Aware Receiver 164 -- 9.3 Iterative Receiver Processing 164 -- 9.3.1 Iterative ICI-Ignorant Receiver 165 -- 9.3.2 Iterative ICI-Aware Receiver 165 -- 9.4 ICI-Progressive Receiver 166 -- 9.5 Simulation Results: ICI-Progressive Receiver 168 -- 9.6 Experimental Results: ICI-Progressive Receiver 171 -- 9.6.1 BLER Performance 171 -- 9.6.2 Environmental Impact 171 -- 9.6.3 Progressive versus Iterative ICI-Aware Receivers 174 -- 9.7 Discussion 175.…”

“…Tanto la evolución como el desarrollo del conocimiento exigen una estructura innata genéticamente a priori —aunque no válida a priori—, que suministra el material de partida que la selección natural o la crítica racional han de modificar para producir el siguiente estadio de desarrollo. …”

“…Emphasis on the key role of the senses in securing this coding relationship means that the view respects empiricism, but without undermining the mind-independence of arithmetic or the fact that it is knowable by means of a special armchair method called conceptual examination.A wealth of related issues are covered during the course of the book, including definitions of realism, conditions on knowledge, the problems with extant empiricist approaches to the a priori, mathematical explanation, mathematical indispensability, pragmatism, conventionalism, empiricist criteria for meaningfulness, epistemic externalism and foundationalism. …”