Tabla de Contenidos: “…INFORMACIÓN -- SOFTWARE DEL SISTEMA -- SISTEMA OPERATIVO -- CONCEPTO -- CLASIFICACIÓN -- SISTEMA OPERATIVO WINDOWS VISTA -- LAS VENTANAS -- CONCEPTOS BÁSICOS DE LAS VENTANAS -- LAS BARRAS DE DESPLAZAMIENTO -- EL ESCRITORIO -- LA BARRA DE TAREAS -- ADMINISTRADOR DE ARCHIVOS -- NOMBRE DE ARCHIVOS -- CARPETAS -- RELACIÓN DE CARPETAS -- ELIMINAR ARCHIVOS Y CARPETAS -- COPIAR, MOVER CARPETAS Y ARCHIVOS -- AUTOEVALUACIÓN -- PRÁCTICA 1 -- LENGUAJES DE PROGRAMACIÓN -- CONCEPTO -- CLASIFICACIÓN -- AUTOEVALUACIÓN -- PRÁCTICA 1 -- SOFTWARE DE APLICACIÓN -- PREPARACIÓN DE DOCUMENTOS ELECTRÓNICOS -- ¿QUÉ ES UN PROCESADOR DE TEXTOS? …”

Tabla de Contenidos:

Tabla de Contenidos: “…Taking Unix Online -- Remote Logins -- Web Access -- Remote Access to Other Unix Systems -- Transferring Files -- scp and rcp -- FTP -- Easy Shortcuts with New Remote Connection -- Chapter 9. Of Windows and X11 -- X11 -- Using X11 -- Differences Between OS X and X11 -- Customizing X11 -- GIMP, the X11 Graphics Editor -- Chapter 10. …”

“…Dabei legt er den Schwerpunkt auf die wesentlichen Features, mit denen Sie CINEMA 4D effizient erlernen und so sehr schnell für Ihre eigenen Projekte kreativ einsetzen können. Für Windows und Mac Aus dem Inhalt: Programmoberfläche verstehen Verschiedene Methoden der Modellierung Texturieren mit CINEMA 4D und BodyPaint 3D Grundlagen der Animation Licht, Kamera und Szene-Objekte Rendern von Einzelbildern und Filmen mit dem Standard-Renderer, dem physikalischen Renderer und Global Illumination Charakter-Rigging und -Animation inkl. …”

“…Dabei legt er den Schwerpunkt auf die wesentlichen Features, mit denen Sie CINEMA 4D effizient erlernen und so sehr schnell für Ihre eigenen Projekte kreativ einsetzen können. Für Windows und Mac Aus dem Inhalt: Programmoberfläche verstehen Verschiedene Methoden der Modellierung Texturieren mit CINEMA 4D und BodyPaint 3D Grundlagen der Animation Licht, Kamera und Szene-Objekte Rendern von Einzelbildern und Filmen mit dem Standard-Renderer, dem physikalischen Renderer und Global Illumination Charakter-Rigging und -Animation inkl. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Pyspark and Setting up Your Development Environment -- An overview of PySpark -- Spark SQL -- Setting up Spark on Windows and PySpark -- Core concepts in Spark and PySpark -- SparkContext -- Spark shell -- SparkConf -- Summary -- Chapter 2: Getting Your Big Data into the Spark Environment Using RDDs -- Loading data on to Spark RDDs -- The UCI machine learning repository -- Getting the data from the repository to Spark -- Getting data into Spark -- Parallelization with Spark RDDs -- What is parallelization? …”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Advanced Analytics with R and Tableau -- Installing R for Windows -- RStudio -- Prerequisites for RStudio installation -- Implementing the scripts for the book -- Testing the scripting -- Tableau and R connectivity using Rserve -- Installing Rserve -- Configuring an Rserve Connection -- Summary -- Chapter 2: The Power of R -- Core essentials of R programming -- Variables -- Creating variables -- Working with variables -- Data structures in R -- Vector -- Lists -- Matrices -- Factors -- Data frames -- Control structures in R -- Assignment operators -- Logical operators -- For loops and vectorization in R -- For loops -- Functions -- Creating your own function -- Making R run more efficiently in Tableau -- Summary -- Chapter 3: A Methodology for Advanced Analytics Using Tableau and R -- Industry standard methodologies for analytics -- CRISP-DM -- Business understanding/data understanding -- CRISP-DM model - data preparation -- CRISP-DM - modeling phase -- CRISP-DM - evaluation -- CRISP-DM - deployment -- CRISP-DM - process restarted -- CRISP-DM summary -- Team Data Science Process -- Business understanding -- Data acquisition and understanding -- Modeling -- Deployment -- TDSP Summary -- Working with dirty data -- Introduction to dplyr -- Summarizing the data with dplyr -- Summary -- Chapter 4: Prediction with R and Tableau Using Regression -- Getting started with regression -- Simple linear regression -- Using lm() to conduct a simple linear regression -- Coefficients -- Residual standard error -- Comparing actual values with predicted results -- Investigating relationships in the data -- Replicating our results using R and Tableau together -- Getting started with multiple regression?…”

“…With this brief, fast-paced introduction to TypeScript, .NET, Web and Windows 8 application developers who are already familiar with JavaScript will easily get up to speed with TypeScript and decide whether or not to start incorporating it into their own development. …”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Authors -- About the Reviewer -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: Preparing Your Working Environment -- Introduction -- Installing matplotlib, NumPy, and SciPy -- Installing virtualenv and virtualenvwrapper -- Installing matplotlib on Mac OS X -- Installing matplotlib on Windows -- Installing Python Imaging Library (PIL) for image processing -- Installing a requests module -- Customizing matplotlib's parameters in code -- Customizing matplotlib's parameters per project -- Chapter 2: Knowing Your Data -- Introduction -- Importing data from CSV -- Importing data from Microsoft Excel files -- Importing data from fixed-width data files -- Importing data from tab-delimited files -- Importing data from a JSON resource -- Exporting data to JSON, CSV, and Excel -- Importing and manipulating data with Pandas -- Importing data from a database -- Cleaning up data from outliers -- Reading files in chunks -- Reading streaming data sources -- Importing image data into NumPy arrays -- Generating controlled random datasets -- Smoothing the noise in real-world data -- Chapter 3: Drawing Your First Plots and Customizing Them -- Introduction -- Defining plot types - bar, line, and stacked charts -- Drawing simple sine and cosine plots -- Defining axis lengths and limits -- Defining plot line styles, properties, and format strings -- Setting ticks, labels, and grids -- Adding legends and annotations -- Moving spines to the center -- Making histograms -- Making bar charts with error bars -- Making pie charts count -- Plotting with filled areas -- Making stacked plots -- Drawing scatter plots with colored markers -- Chapter 4: More Plots and Customizations -- Introduction -- Setting the transparency and size of axis labels -- Adding a shadow to the chart line…”

Tabla de Contenidos: “…-- Preface xxi / /Acknowledgments xxv / /Summary of Notations xxvii / /About the Cover xxix / /About the Companion Website xxxi / /1 Mathematical Background and Analysis Techniques 1 / /1.1 Introduction 1 / /1.2 The Fourier Transform and Fourier Series 5 / /1.3 Pulse Distortion with Ideal Filter Models 16 / /1.4 Correlation Processing 19 / /1.5 Random Variables and Probability 20 / /1.6 Random Processes 41 / /1.7 The Matched Filter 44 / /1.8 The Likelihood and Log-Likelihood Ratios 46 / /1.9 Parameter Estimation 47 / /1.10 Modem Configurations and Automatic Repeat Request 55 / /1.11 Windows 57 / /1.12 Matrices Vectors and Related Operations 66 / /1.13 Often Used Mathematical Procedures 70 / /1.14 Often Used Mathematical Relationships 71 / /2 Digital Signal Processing and Modem Design Considerations 81 / /2.1 Introduction 81 / /2.2 Discrete Amplitude Sampling 81 / /2.3 Discrete-Time Sampling 87 / /2.4 Signal Reconstruction Following Discrete-Time Sampling 91 / /2.5 Baseband Sampling 92 / /2.6 Bandpass Sampling 92 / /2.7 Corrections for Nonideal Modulators and Demodulators 99 / /2.8 Multirate Signal Processing and Interpolation 106 / /Appendix 2A Amplitude Quantization Function Subprogram 121 / /Appendix 2B Hilbert Transform Parameters 122 / /Appendix 2C Derivation of Parabolic Interpolation Error 126 / /3 Digital Communications 133 / /3.1 Introduction 133 / /3.2 Digital Data Modulation and Optimum Demodulation Criteria 135 / /3.3 Information and Channel Capacity 139 / /3.4 Bit-Error Probability Bound on Memoryless Channel 148 / /3.5 Probability Integral and the Error Function 150 / /4 Phase Shift Keying (PSK) Modulation Demodulation and Performance 153 / /4.1 Introduction 153 / /4.2 Constant Envelope Phase-Modulated Waveforms 154 / /4.3 Non-Constant Envelope Phase-Modulated Waveforms 175 / /4.4 Phase-Modulated Waveform Spectrums and Performance 178 / /5 Frequency Shift Keying (FSK) Modulation Demodulation and Performance 207 / /5.1 Introduction 207 / /5.2 Coherent Detection of BFSK - Known Frequency and Phase 207 / /5.3 Noncoherent Detection of BFSK - Known Frequency and Unknown Phase 210 / /5.4 Case Studies: Coherent and Noncoherent BFSK Performance Simulation 211 / /5.5 Noncoherent Detection of BFSK - Unknown Frequency and Phase 214 / /5.6 BFSK Spectral Density with Arbitrary Modulation Index 219 / /6 Amplitude Shift Keying Modulation Demodulation and Performance 227 / /6.1 Introduction 227 / /6.2 Amplitude Shift Keying (ASK) 227 / /6.3 Quadrature Amplitude Modulation (QAM) 234 / /6.4 Alternate QAM Waveform Constellations 236 / /6.5 Case Study: 16-ary QAM Performance Evaluation 236 / /6.6 Partial Response Modulation 237 / /7 M-ary Coded Modulation 251 / /7.1 Introduction 251 / /7.2 Coherent Detection of Orthogonal Coded Waveforms 252 / /7.3 Noncoherent Detection of M-ary Orthogonal Waveforms 253 / /7.4 Coherent Detection of M-ary Biorthogonal Waveforms 256 / /8 Coding for Improved Communications 261 / /8.1 Introduction 261 / /8.2 Pulse Code Modulation 261 / /8.3 Gray Coding 268 / /8.4 Differential Coding 269 / /8.5 Pseudo-Random Noise Sequences 270 / /8.6 Binary Cyclic Codes 273 / /8.7 Cyclic Redundancy Check Codes 274 / /8.8 Data Randomizing Codes 276 / /8.9 Data Interleaving 277 / /8.10 Wagner Coding and Decoding 279 / /8.11 Convolutional Codes 283 / /8.12 Turbo and Turbo-Like Codes 299 / /8.13 LDPC Code and TPC 313 / /8.14 Bose-Chaudhuri-Hocquenghem Codes 315 / /Appendix 8A 328 / /Appendix 8B 329 / /9 Forward Error Correction Coding Without Bandwidth Expansion 339 / /9.1 Introduction 339 / /9.2 Multi-h M-ary CPM 340 / /9.3 Case Study: 2-h 4-ary 1REC CPM 350 / /9.4 Multiphase Shift Keying Trellis-Coded Modulation 362 / /9.5 Case Study: Four-State 8PSK-TCM Performance Over Satellite Repeater 367 / /10 Carrier Acquisition and Tracking 375 / /10.1 Introduction 375 / /10.2 Bandpass Limiter 377 / /10.3 Baseband Phaselock Loop Implementation 378 / /10.4 Phase-Error Generation 378 / /10.5 First-Order Phaselock Loop 380 / /10.6 Second-Order Phaselock Loop 380 / /10.7 Third-Order Phaselock Loop 390 / /10.8 Optimum Phase Tracking Algorithms 396 / /10.9 Squaring Loss Evaluation 406 / /10.10 Case Study: BPSK and QPSK Phaselock Loop Performance 408 / /10.11 Case Study: BPSK Phase Tracking Performance of a Disadvantaged Transmit Terminal 410 / /11 Waveform Acquisition 413 / /11.1 Introduction 413 / /11.2 CW Preamble Segment Signal Processing 416 / /11.3 Symbol Synchronization Preamble Segment 432 / /11.4 Start-of-Message (SOM) Preamble segment 452 / /11.5 Signal-to-Noise Ratio Estimation 452 / /12 Adaptive Systems 463 / /12.1 Introduction 463 / /12.2 Optimum Filtering - Wiener's Solution 464 / /12.3 Finite Impulse Response-Adaptive Filter Estimation 465 / /12.4 Intersymbol Interference and Multipath Equalization 469 / /12.5 Interference and Noise Cancellation 472 / /12.6 Recursive Least Square (RLS) Equalizer 473 / /12.7 Case Study: LMS Linear Feedforward Equalization 474 / /12.8 Case Study: Narrowband Interference Cancellation 474 / /12.9 Case Study: Recursive Least Squares Processing 480 / /13 Spread-Spectrum Communications 485 / /13.1 Introduction 485 / /13.2 Spread-Spectrum Waveforms and Spectrums 487 / /13.3 Jammer and Interceptor Encounters 499 / /13.4 Communication Interceptors 502 / /13.5 Bit-Error Performance of DSSS Waveforms with Jamming 504 / /13.6 Performance of MFSK with Partial-Band Noise Jamming 512 / /13.7 Performance of DCMPSK with Partial-Band Noise Jamming 514 / /13.8 FHSS Waveforms with Multitone Jamming 515 / /13.9 Approximate Performance with Jammer Threats 521 / /13.10 Case Study: Terrestrial Jammer Encounter and Link-Standoff Ratio 522 / /14 Modem Testing Modeling and Simulation 531 / /14.1 Introduction 531 / /14.2 Statistical Sampling 532 / /14.3 Computer Generation of Random Variables 539 / /14.4 Baseband Waveform Description 545 / /14.5 Sampled Waveform Characterization 547 / /14.6 Case Study: BPSK Monte Carlo Simulation 548 / /14.7 System Performance Evaluation Using Quadrature Integration 550 / /14.8 Case Study: BPSK Bit-Error Evaluation with PLL Tracking 551 / /14.9 Case Study: QPSK Bit-Error Evaluation with PLL Tracking 553 / /15 Communication Range Equation and Link Analysis 557 / /15.1 Introduction 557 / /15.2 Receiver and System Noise Figures and Temperatures 560 / /15.3 Antenna Gain and Patterns 568 / /15.4 Rain Loss 571 / /15.5 Electric Field Wave Polarization 573 / /15.6 Phase-Noise Loss 578 / /15.7 Scintillation Loss 583 / /15.8 Multipath Loss 583 / /15.9 Interface Mismatch Loss 584 / /15.10 Miscellaneous System Losses 585 / /15.11 Nonlinear Power Amplifier Analysis and Simulation 585 / /15.12 Computer Modeling of TWTA and SSPA Nonlinearities 588 / /15.13 Establishing Signal Levels for Simulation Modeling 590 / /15.14 Case Study: Performance Simulation of SRRC-QPSK with SSPA Nonlinearity 592 / /15.15 Link Budget Analysis 596 / /16 Satellite Orbits 603 / /16.1 Introduction 603 / /16.2 Satellite Orbits 606 / /16.3 Earth Stations 607 / /16.4 Path Loss Doppler and Doppler-rate 609 / /16.5 Satellite Viewing 609 / /16.6 Satellite Orbit Selection 610 / /16.7 Satellite Orbit Position Estimation From Parameter Measurements 611 / /16.8 Case Study: Example Satellite Encounters 612 / /17 Communications Through Bandlimited Time-Invariant Linear Channels 617 / /17.1 Introduction 617 / /17.2 Inphase and Quadrature Channel Response 618 / /17.3 Inphase and Quadrature Channel Response to Arbitrary Signal 619 / /17.4 Pulse Modulated Carrier Signal Characteristics 621 / /17.5 Channel Response to a Pulsed Modulated Waveform 622 / /17.6 Example Performance Simulations 623 / /17.7 Example of Channel Amplitude and Phase Responses 624 / /17.8 Example Channel Amplitude Phase and Delay Functions 627 / /18 Communications in Fading Environments 633 / /18.1 Introduction 633 / /18.2 Ricean Fading Channels 634 / /18.3 Ricean Cumulative Distribution 635 / /18.4 Application of Ricean Channel Model 635 / /18.5 Performance of Several Binary Modulation…”

“…Master effective IT auditing techniques, from security control reviews to advanced cybersecurity practices, with this essential field manual Key Features Secure and audit endpoints in Windows environments for robust defense Gain practical skills in auditing Linux systems, focusing on security configurations and firewall auditing using tools such as ufw and iptables Cultivate a mindset of continuous learning and development for long-term career success Purchase of the print or Kindle book includes a free PDF eBook Book Description As cyber threats evolve and regulations tighten, IT professionals struggle to maintain effective auditing practices and ensure robust cybersecurity across complex systems. …”

“… Written by popular author and .NET expert Jesse Liberty, this thoroughly updated tutorial for beginning to intermediate programmers covers the latest release of Microsoft's popular C# language (C# 3.0) and the newest .NET platform for developing Windows and web applications. Our bestselling Programming C# 3.0, now in its fifth edition, is a world-class tutorial that goes well beyond the documentation otherwise available. …”

“…You'll find step-by-step instructions for using Quicken on your Windows PC, including useful features such as budgeting, recording investment transactions, and archiving Quicke…”

“…Keep everything in sync between your Windows PC or Mac and your iPhone. E-mail family and friends using your carrier’s wireless network or a Wi-Fi hotspot. …”

Tabla de Contenidos: “…Installing tfjs-node-gpu on Windows -- Appendix B. A quick tutorial of tensors and operations in TensorFlow.js -- B.1. …”

“… Ever since Visual Basic was merged into .NET, it's become the core language for creating business applications with Windows. The latest version, VB 2008, is even more useful -- and provides even more incentive for migrating from VB 6. …”

“…This guide explains how to maximize the benefits of these processors through a portable C++ library that works on Windows, Linux, Macintosh, and Unix systems. With it, you'll learn how to use Intel Threading Building Blocks (TBB) effectively for parallel programming -- without having to be a threading expert…”

“…Drill into the features and capabilities for change and configuration management for Windows®-based desktop and server systems, and use easy-to-follow procedures, practical workarounds, and key troubleshooting tactics for everyday, on-the-job results. …”

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