Tabla de Contenidos: “…7.4.4 Real-Time Analysers -- 7.4.5 Remote Sensing -- 7.5 Data Reduction and Processing -- 7.5.1 Vibration Amplitude Versus Frequency Analysis -- 7.5.2 Spectrum Averaging -- 7.5.3 Amplitude Versus Frequency Versus Time Analysis -- 7.5.4 Amplitude/Phase Versus rpm Analysis -- 7.5.5 Time Waveform Analysis -- 7.5.6 Lissajous Pattern (Orbit) Analysis -- 7.5.7 Mode-Shape Analysis -- 7.6 Diagnosis and Corrective Actions -- 7.6.1 Steady-State Operating Regime -- 7.6.2 Detection of Perturbation Forces and Corrective Actions -- 7.7 Modal Analysis -- 7.8 Vibration Control -- Conclusion -- Exercises -- Chapter 8: Finite Element Method -- 8.1 Introduction -- 8.2 Important Conditions to be Satisfied -- 8.3 Modelling -- 8.4 Shape Functions -- 8.5 Bar Element -- 8.6 Boundary Conditions -- 8.7 Torsion Element -- 8.8 Beam Element -- Matlab-Tool for Computation -- Introduction -- (I) Display Windows -- (II) Arithmetic Operations -- (III) Built-in Functions -- (IV) Matrix -- (V) Polynomials: -- (VI) System of Linear Equations -- Conclusion -- Exercises -- Chapter 9: Fundamentals of Experimental Modal Analysis -- 9.1 Introduction -- 9.2 Frequency-Response Function -- 9.2.1 Frequency-Response Function-Basic Principles -- Exercises -- Chapter 10: Miscellaneous Topics in Vibration Analysis and Introduction to Noise Analysis -- 10.1 Flow-Induced Vibrations -- 10.2 Acoustics and Analysis of Noise -- 10.2.1 Basics of Sound -- 10.2.2 Amplitude, Frequency, Wavelength, and Velocity -- 10.2.3 Sound Field Definitions -- 10.3 Non-Stationary (Unsteady) Vibrations -- 10.4 Rotor Dynamics and Hydrodynamic Bearings -- Exercises -- Appendix - A -- Appendix - B -- Appendix - C -- Appendix - D -- Index…”

“…The organization of the book is based on fundamental concepts, with sections covering fundamental concepts, methods and approaches, block/flow diagrams, and numerical examples. A MATLAB-based approach is used through selected case studies in the text--…”

Tabla de Contenidos: “…Preprocessing -- Classification with logistic regression -- Classification with support vector machines -- Regression with ElasticNetCV -- Support vector regression -- Clustering with affinity propagation -- Mean shift -- Genetic algorithms -- Neural networks -- Decision trees -- Summary -- Chapter 11: Environments Outside the Python Ecosystem and Cloud Computing -- Exchanging information with Matlab/Octave -- Installing rpy2 package -- Interfacing with R -- Sending NumPy arrays to Java -- Integrating SWIG and NumPy -- Integrating Boost and Python -- Using Fortran code through f2py -- PythonAnywhere Cloud -- Summary -- Chapter 12: Performance Tuning, Profiling, and Concurrency -- Profiling the code -- Installing Cython -- Calling C code -- Creating a process pool with multiprocessing -- Speeding up embarrassingly parallel for loops with Joblib -- Comparing Bottleneck to NumPy functions -- Performing MapReduce with Jug -- Installing MPI for Python -- IPython Parallel -- Summary -- Appendix A: Key Concepts -- Appendix B: Useful Functions -- Matplotlib -- NumPy -- Pandas -- Scikit-learn -- SciPy -- scipy.fftpack -- scipy.signal -- scipy.stats -- Appendix C: Online Resources -- Index…”

Tabla de Contenidos: “…1.3 The OMG SysMLTM and UMLTM Languages1.4 Book Context; 1.4.1 Autosar; 1.4.2 Capability Maturity Model Integration; 1.4.3 BPM; 1.4.4 ISO/IEC 15288; 1.4.5 MATLAB/Simulink; 1.4.6 The Requirement Interchange Format; 1.4.7 Statemate; 1.4.8 Step; 1.4.9 Specification and Description Language; 1.4.10 V-Model XT; CHAPTER 2 The Pragmatic SYSMOD Approach; 2.1 Case Study; 2.1.1 Describe Project Context; 2.2 Determining Requirements; 2.2.1 Identify Stakeholders; 2.2.2 Collect Requirements; 2.3 Modeling the System Context; 2.3.1 Identify System Actors; 2.3.2 Model System/Actor Information Flow…”

Tabla de Contenidos: “…Design of a relay protection algorithm based on Matlab/Simulink and FPGA / Z.J. Qu, Y.X. Yuan, P.F. …”

“…Various design methodologies and practical considerations are described with a top-down approach, presenting from theoretical fundamentals, system-level design equations and behavioral models in MATLAB/SIMULINK, to circuit, transistor-level realization in Cadence Design FrameWork II, and physical implementation, chip prototyping and experimental characterization.Other key features: . a comprehensive and systematic description of ΣΔM architectures from the basic operating principles to state-of-the-art advances in architectures and circuits, and considering both switched-capacitor and continuous-time circuit implementations. a detailed review of state-of-the-art ΣΔM ICs, extracting statistical and empirical design guidelines, identifying trends, design challenges and solutions. case studies showing the different stages of the design flow of ΣΔMs. a complete description of SIMSIDES (SIMulink Sigma-Delta Simulator), a time-domain behavioral simulator for the high-level sizing and verification of ΣΔMs, implemented in MATLAB/SIMULINK. a number of electronic resources (available through a companion website) including practical examples using SIMSIDES, the statistical data used in the state-of-the-art survey, as well as many design examples and simulation test benchesUsing a pedagogical and intuitive approach, this is an essential guide for designers of mixed-signal circuits in nanometer CMOS. …”

Tabla de Contenidos: “…SOLUCIÓN EN T = 0,25 S -- INTRODUCCIÓN -- INTRODUCCIÓN A MATLAB® -- APARIENCIA -- VARIABLES -- OPERADORES -- FUNCIONES Y SCRIPTS -- SISTEMAS DE ECUACIONES NO-LINEALES -- SISTEMAS DE UNA VARIABLE -- MÉTODO NUMÉRICO DE SUSTITUCIÓN SUCESIVA -- MÉTODO NUMÉRICO DE WEGSTEIN -- MÉTODO NUMÉRICO DE NEWTON-RAPHSON -- MÉTODO NUMÉRICO DE BISECCIÓN -- MÉTODO NUMÉRICO DE FALSA POSICIÓN -- MÉTODO NUMÉRICO SECANTE -- EJEMPLO IQUI -- SISTEMAS DE MÚLTIPLES VARIABLES -- MÉTODO NUMÉRICO DE SUSTITUCIÓN SUCESIVA (...) -- MÉTODO NUMÉRICO DE WEGSTEIN MULTIVARIABLE -- MÉTODO NUMÉRICO DE NEWTON-RAPHSON MULTIVARIABLE -- MÉTODO NUMÉRICO DE BROYDEN -- MÉTODO NUMÉRICO DE SHERMAN-MORRISON -- EJEMPLO IQUI -- SISTEMAS DE ECUACIONES LINEALES -- MÉTODOS ITERATIVOS -- MÉTODO NUMÉRICO DE GAUSS-SEIDEL -- MÉTODO NUMÉRICO DE JACOBI -- EJEMPLO IQUI -- MÉTODOS ALGEBRAICOS…”

“…Focuses on real and reactive power control Supported by PSCAD and Matlab/Simulink examples Considers the difference in control objectives between ac drive systems and grid integration systems…”

Tabla de Contenidos: “…6.3.3.2 Short Period -- 6.3.3.3 Third Oscillatory Mode -- 6.3.3.4 Roll Subsidence -- 6.3.3.5 Dutch Roll -- 6.3.3.6 Spiral -- 6.4 Aircraft Lift and Drag Estimation -- 6.4.1 Fuselage Lift and Moment Coefficients -- 6.4.2 Wing-Tail Interference Effects -- 6.4.3 Estimating the Wing's Maximum Lift Coefficient -- 6.4.4 Drag Estimation -- 6.5 Estimating the Longitudinal Aerodynamic Derivatives -- 6.6 Estimating the Lateral Aerodynamic Derivatives -- 6.7 Perturbation Analysis of Trimmed Flight -- 6.7.1 Perturbation Analysis of Longitudinal Trimmed Flight -- 6.7.2 Perturbation Analysis of Lateral Trimmed Flight -- 6.7.2.1 Control Settings for Steady Sideslip -- 6.7.2.2 Control Settings for Turn Coordination and Banking -- 6.7.3 Perturbations of Coupled Trimmed Flight -- 6.7.4 Simplified Analysis of Complex Manoeuvres: The Sidestep Manoeuvre -- Chapter Highlights -- Exercises -- Answers to Selected Exercises -- Note -- References -- Chapter 7 Aircraft Dynamic Response: Numerical Simulation and Non-Linear Phenomenon -- 7.1 Introduction -- 7.2 Longitudinal and Lateral Modal Equations -- 7.3 Methods of Computing Aircraft Dynamic Response -- 7.3.1 Laplace Transform Method -- 7.3.2 Aircraft Response Transfer Functions -- 7.3.3 Direct Numerical Integration -- 7.4 System Block Diagram Representation -- 7.4.1 Numerical Simulation of Flight Using MATLAB[sup(®)]/Simulink[sup(®)] -- 7.5 Atmospheric Disturbance: Deterministic Disturbances -- 7.6 Principles of Random Atmospheric Disturbance Modelling -- 7.6.1 White Noise: Power Spectrum and Autocorrelation -- 7.6.2 Linear Time-Invariant System with Stochastic Process Input -- 7.7 Application to Atmospheric Turbulence Modelling -- 7.8 Aircraft Non-Linear Dynamic Response Phenomenon -- 7.8.1 Aircraft Dynamic Non-Linearities and Their Analysis -- 7.8.2 High-Angle-of-Attack Dynamics and Its Consequences…”

Tabla de Contenidos: “…Sexism and Gender Bias in the Audio Industry "Opting out" of the conversation Sexual Harassment On motherhood On Age The Annenberg Study Recording Academy Task Force The Grammys and Recording Academy Class of 2019 Audio Engineering Society 2019 Chapter Two: Outreach: Organizations and Current Initiatives Pull Digital Audio Eco Feminism Erin Barra and Beats By Girlz (USA) Fun Facts: Ableton Live and Ableton Push Phebean Adedamola Oluwagbemi (Nigeria) Audio Girl Africa (Nigeria) Female Frequency (USA) Dani Mari (USA) I Am Snow Angel (USA) Women in Sound Zine and Madeleine Campbell (USA) Gender Amplified (USA) Ebonie Smith (USA) The Creator's Suite (USA) Abhita Austin (USA) Yorkshire Sound Women Network (England) International Women Working in Film Sound Women (United Kingdom) Terri Winston and Women's Audio Mission (USA) SoundGirls.org Chapter Three: Radio and Podcasts Careers in radio and podcasts Tools of the Trade: Radio Cathy Hughes (USA) Ann Charles (England) Ioana Barbu Caryl Owen (USA) Suraya Mohamed (USA) Lorna White (USA) Nadia Hassan-Garschagen (Germany) Podcasts Chapter Four: Sound for Television & Film Careers in Sound for Film and Television Feature Films and Documentaries Post Production Live Broadcast Tools of the Trade: Location Sound Tools of the Trade: Post Production for television and film Jan McLaughlin, CAS (USA) Judi Lee-Headman (England) Lori Dovi (USA) Ai-Ling Lee (Singapore) April Tucker (USA) Karol Urban, CAS (USA) Haniya Aslam (Pakistan) 'Lisa' Xiang Li (China) Sajida Khan (India) Catharine Wood (USA) Anna Bertmark (Sweden) Chapter Five: Music Recording and Electronic Music Careers in Music Recording and Electronic Music Electronic Music Pamela Z Suzanne Ciani Cecilia Wu (China) Producers Kay Huang (Taiwan) Elaine Martone (USA) Erica Brenner (USA) Linda Briceño (Venezuela) Virginia Read (Australia) Mastering Engineers Emily Lazar (USA) Jett Galindo (Philippines) Piper Payne (USA) Anna Frick (USA) Darcy Proper (USA) Fun facts: Vinyl Mastering Fun Facts: Loudness Wars Recording Engineers Lenise Bent (USA) Erin Tonkon (USA) Jill Zimmermann (Germany) Wendy Beines (Argentina) Other Women in Music Recording Chapter Six: Hardware and Software Design Careers in Hardware and Software Fun Facts: Make your own Audio Plugin with MATLAB Tools of the Trade: Hardware and Software Design Laurie Spiegel (USA) Carla Scaletti (USA) EveAnna Dauray Manley (USA) Marina Bosi (Italy) Erisa Sato (Japan) Elisabeth Löchen (France) Marie Louise Killick (England) Carol Bousquet (USA) Dawn Birr (USA) Other women in Hardware and Software Chapter Seven: Acoustics and Design Careers in Acoustics Tools of the Trade: Acoustics Fun Facts: Weighting Curves Jamie Angus-Whiteoak (England) Fun Facts: Spread Spectrum Elizabeth Cohen (USA) Samantha Weller (USA) Fun Facts: Ray Tracing Orla Murphy (Ireland) Fun Facts: Ear Training and Critical Listening Linda Gedemer (USA) Women in Acoustics Committee Chapter Eight: Live and Theater Sound Careers in Live Sound: Tools of the Trade: Live Sound Fun Facts: Safe Listening Levels Kathy Sander-Olhoeft (USA) Betty Cantor-Jackson (USA) Brandie Lane (USA) Karrie Keyes (USA) Michelle Sabolchick Pettinato (USA) Fela Davis Carolina Anton (Mexico) Leya Soraide (Bolivia) Tzu-Wei Peng (Taiwan) Jessica Paz (USA) Chapter Nine: Education A brief history of audio education Academic Standards Careers in Higher Education Education-related Volunteer and Non-Profit Work Tools of the Trade: Education Martha de Francisco (Columbia) Robin Coxe-Yeldham (USA) Theresa Leonard (Canada) Lisa Nigris (USA) Valeria Palomino (Mexico) Liz Dobson Cosette Collier (USA) Chapter Ten: Games, Immersive Sound, and Audio for Virtual, Augmented, and Mixed Reality Tools of the Trade: Game Sound Tools of the Trade: Immersive Audio Tools of the Trade: Binaural Audio Other tools Women in Game Sound: Industry Statistics Winifred Phillips (USA) Eiko Ishiwata (Canada) Ayako Yamauchi (Japan) Fun Facts: Ambisonics Emily Ridgeway (Australia) Fun Facts: Head Related Transfer Functions Khris Brown (USA) Fun Facts: TASCAM Portastudio Pam Aronoff (USA) Fun Facts: Wwise Anastasia Devana (Russia) Fun Facts: Virtual, Augmented, and Mixed Reality Victoria Dorn (USA) Sally Kellaway (Australia) Fei Yu (China) About the Author Glossary Recommended Reading Appendix 1 Appendix 2…”

“…The third part gives Matlab programs simulating t…”

Tabla de Contenidos: “…Introduction -- 3.2. Specifications in MATLAB and C: Prototyping and Development -- 3.2.1. …”

Tabla de Contenidos: “…10.1.2 Mobile base robotic manipulator -- 10.1.3 IoT-based robotic manipulator -- 10.2 Design of the proposed semi-automatic robot manipulator -- 10.3 Proposed model -- 10.3.1 Denavit-Hartenberg parameters -- 10.3.2 Frame Assignment for D-H Parameter Calculation -- 10.4 Robot control -- 10.4.1 Joint space control -- 10.4.2 Task space control -- 10.4.3 Robotic arm simulation using MATLAB GUI -- 10.5 Hardware Implementation -- 10.6 Conclusion and future scope -- References -- Chapter 11: Pest identification and classification using IoT enable technique -- 11.1 Introduction -- 11.2 Literature survey -- 11.2.1 Related works -- 11.2.2 Problem statement -- 11.3 A novel deep learning framework for IoT-enabled pest identification and classification -- 11.3.1 Proposed architecture and description -- 11.3.2 IoT-enabled pest detection and smart agriculture -- 11.4 Conclusion -- References -- Chapter 12: Framework for leveraging diagnostic and vehicle data with emphasis on automotive cybersecurity -- 12.1 Introduction -- 12.2 Framework -- 12.3 Applications and features of the framework -- 12.4 Conclusion -- References -- Chapter 13: An array of Fibonacci series-based wide-band printed antennas for IoT/5G applications -- 13.1 Introduction -- 13.2 Proposed single antenna -- 13.2.1 Formation of the proposed geometry -- 13.2.2 Depiction of single antenna -- 13.2.3 Contour length and surface area computation -- 13.2.4 Time domain analysis -- 13.3 Proposed array -- 13.3.1 Construction of power divider network -- 13.3.2 Development of array -- 13.3.3 Benefits of the Wilkinson power divider -- 13.4 Results and discussion -- 13.5 Conclusion -- Acknowledgement -- References -- Chapter 14: Deep learning IoT platform for dental disease detection -- 14.1 Introduction -- 14.2 Literature survey -- 14.3 Suggested design -- 14.3.1 YOLO object detection interpretation…”

Tabla de Contenidos: “…Emerging Fields and Other Related Fields -- Application of MATLAB in University Physics Teaching / The Impact of Innovation Strategy on Firm Financial Performance / Transverse-Load Characteristics of Long Period Fiber Gratings Fabricated By Femtosecond Laser Pulses…”

Tabla de Contenidos: “…3.1 Enumeration of (s, f) Connected Path Sets -- 3.1.1 Method 1: Using Powers of Connection matrix -- 3.1.2 Method 2: Traversing Through Connection Matrix -- 3.1.3 Method 3: Using Incidence Matrix -- 3.2 Enumeration of All-node Connected Path Sets: Spanning Tree -- 3.2.1 Method 1: Using the Cartesian Product of the Node Cut Sets -- 3.2.2 Method 2: Using the Incidence Matrix -- 3.3 Number of Spanning Trees -- 3.3.1 Matrix Tree Theorem -- 3.4 Enumeration of k-node Connected Path Sets: k-Trees -- Appendix 3A.1: Enumeration of Path Sets Algorithm, Illustration and Matlab® Code Notation -- Appendix 3A.2: Sample program I/O for Figure 3A.1 -- Exercises -- References -- 4 Cut Sets Enumeration -- 4.1 (s, f) Cut Sets Enumeration -- 4.1.1 Method 1: Using Connection Matrix -- 4.1.2 Method 2: Using Minimal Path Sets -- 4.1.2.1 Using Set-theoretic Product of Path Sets -- 4.1.2.2 Using Path Sets Matrix -- 4.1.2.3 Using Path Sets Inversion -- 4.2 Global Cut Sets Enumeration -- 4.2.1 Testing Connectivity of a Specified Node Set -- 4.2.1.1 Node Fusion Technique -- 4.2.2 Generation of Node Set Combination from its Lower Order Node-Sets -- 4.2.3 Checking Validity of a Node Set -- 4.2.4 Formation of Cutset -- 4.2.5 General Algorithm to Enumerate Minimal Cutsets for a Reliability Measure -- Appendix 4A.1: Node Fusion Technique and Generation of Node Set Combination -- Appendix 4A.2: Code for Checking Validity of a Node Set and Converting Node-Sets into Link Cutsets -- Appendix 4A.3: Sample Program I/O for Network Graph of Figure 4.3 -- Appendix 4A.4: g-Terminal Reliability Evaluation Program Sample I/O for Example of Figure 4.3 and Results Provided by the Program (Output of g-reliability Expression for the Figure 4.3 for Method HM-1 of (Chaturvedi &amp -- Misra, 2002) -- Exercises -- References -- 5 Reliability Evaluation using MVI Techniques…”

Tabla de Contenidos: “…3.4.3 EXPLICACIÓN DEL PROGRAMA -- 3.5 ROBOT SIGUE LUZ -- 3.5.1 REGLAS DE COMPORTAMIENTO -- 3.5.2 PSEUDOCÓDIGO -- 3.5.3 EXPLICACIÓN DEL PROGRAMA -- 3.6 ROBOT CON LÓGICA DIFUSA -- 3.6.1 REGLAS DE COMPORTAMIENTO -- 3.6.2 PSEUDOCÓDIGO -- 3.6.3 EXPLICACIÓN DEL PROGRAMA -- 3.7 CREAR FICHEROS DE SENSORES -- 3.7.1 REGLAS DE COMPORTAMIENTO -- 3.7.2 PSEUDOCÓDIGO -- 3.7.3 EXPLICACIÓN DEL PROGRAMA -- 3.8 ROBOT VELOCÍMETRO -- 3.8.1 REGLAS DE COMPORTAMIENTO -- 3.8.2 PSEUDOCÓDIGO -- 3.8.3 EXPLICACIÓN DEL PROGRAMA -- 4 PROGRAMANDO CON LEJOS EV3 -- 4.1 ROBOT AVANCE Y GIRO -- 4.1.1 REGLAS DE COMPORTAMIENTO -- 4.1.2 PSEUDOCÓDIGO -- 4.1.3 EXPLICACIÓN DEL PROGRAMA -- 4.2 ROBOT ODÓMETRO -- 4.2.1 REGLAS DE COMPORTAMIENTO -- 4.2.2 PSEUDOCÓDIGO -- 4.2.3 EXPLICACIÓN DEL PROGRAMA -- 4.3 ROBOT SIGUE LÍNEA -- 4.3.1 REGLAS DE COMPORTAMIENTO -- 4.3.2 PSEUDOCÓDIGO -- 4.3.3 EXPLICACIÓN DEL PROGRAMA -- 4.4 ROBOT SEGUIDOR DE TRAYECTOS -- 4.4.1 REGLAS DE COMPORTAMIENTO -- 4.4.2 PSEUDOCÓDIGO -- 4.4.3 EXPLICACIÓN DEL PROGRAMA -- 4.5 ROBOT CONTROLADO POR INFRARROJO -- 4.5.1 REGLAS DE COMPORTAMIENTO -- 4.5.2 PSEUDOCÓDIGO -- 4.5.3 EXPLICACIÓN DEL PROGRAMA -- 4.6 ROBOT EVADE OBSTÁCULOS -- 4.6.1 REGLAS DE COMPORTAMIENTO -- 4.6.2 PSEUDOCÓDIGO -- 4.6.3 EXPLICACIÓN DEL PROGRAMA -- 4.7 ROBOT CONECTADO POR BLUETOOTH -- 4.7.1 REGLAS DE COMPORTAMIENTO -- 4.7.2 PSEUDOCÓDIGO -- 4.7.3 EXPLICACIÓN DEL PROGRAMA -- 4.8 ROBOT CONTROLADO POR WIFI -- 4.8.1 REGLAS DE COMPORTAMIENTO -- 4.8.2 PSEUDOCÓDIGO -- 4.8.3 EXPLICACIÓN DEL PROGRAMA -- 5 PROGRAMANDO CON EL TOOLBOX MATLAB -- 5.1 ROBOT DE ACELERACIÓN GRADUAL -- 5.1.1 REGLAS DE COMPORTAMIENTO -- 5.1.2 PSEUDOCÓDIGO -- 5.1.3 EXPLICACIÓN DEL PROGRAMA -- 5.2 ROBOT MEDIDOR DE POSICIÓN ANGULAR -- 5.2.1 REGLAS DE COMPORTAMIENTO -- 5.2.2 PSEUDOCÓDIGO -- 5.2.3 EXPLICACIÓN DEL PROGRAMA -- 5.3 ROBOT AVANZA Y GIRA -- 5.3.1 REGLAS DE COMPORTAMIENTO -- 5.3.2 PSEUDOCÓDIGO…”

“…Several examples are included for better understanding, many of them accompanied by short MATLAB® script code making it easy to reuse in practical work. …”

Tabla de Contenidos: “…Chapter 13 Digital Control Systems -- 13.1 Introduction -- 13.2 Digital Computer Control System Applications -- 13.3 Sampled-Data Systems -- 13.4 The z-Transform -- 13.5 Closed-Loop Feedback Sampled-Data Systems -- 13.6 Performance of a Sampled-Data, Second-Order System -- 13.7 Closed-Loop Systems with Digital Computer Compensation -- 13.8 The Root Locus of Digital Control Systems -- 13.9 Implementation of Digital Controllers -- 13.10 Design Examples -- 13.11 Digital Control Systems Using Control Design Software -- 13.12 Sequential Design Example: Disk Drive Read System -- 13.13 Summary -- Skills Check -- Exercises -- Problems -- Advanced Problems -- Design Problems -- Computer Problems -- Terms and Concepts -- References -- Index -- Appendix A MATLAB Basics -- Appendix B MathScript RT Module Basics -- Appendix C Symbols, Units, and Conversion Factors -- Appendix D Laplace Transform Pairs -- Appendix E An Introduction to Matrix Algebra -- Appendix F Decibel Conversion -- Appendix G Complex Numbers -- Appendix H z-Transform Pairs Preface -- Appendix I Discrete-Time Evaluation of the Time Response…”

Tabla de Contenidos: “…Intro -- PROBABILITY, RANDOM VARIABLES, AND RANDOM PROCESSES -- CONTENTS -- PREFACE -- NOTATION -- 1 Overview and Background -- 1.1 Introduction -- 1.1.1 Signals, Signal Processing, and Communications -- 1.1.2 Probability, Random Variables, and Random Vectors -- 1.1.3 Random Sequences and Random Processes -- 1.1.4 Delta Functions -- 1.2 Deterministic Signals and Systems -- 1.2.1 Continuous Time -- 1.2.2 Discrete Time -- 1.2.3 Discrete-Time Filters -- 1.2.4 State-Space Realizations -- 1.3 Statistical Signal Processing with MATLAB® -- 1.3.1 Random Number Generation -- 1.3.2 Filtering -- Problems -- Further Reading -- PART I Probability, Random Variables, and Expectation -- 2 Probability Theory -- 2.1 Introduction -- 2.2 Sets and Sample Spaces -- 2.3 Set Operations -- 2.4 Events and Fields -- 2.5 Summary of a Random Experiment -- 2.6 Measure Theory -- 2.7 Axioms of Probability -- 2.8 Basic Probability Results -- 2.9 Conditional Probability -- 2.10 Independence -- 2.11 Bayes' Formula -- 2.12 Total Probability -- 2.13 Discrete Sample Spaces -- 2.14 Continuous Sample Spaces -- 2.15 Nonmeasurable Subsets of R -- Problems -- Further Reading -- 3 Random Variables -- 3.1 Introduction -- 3.2 Functions and Mappings -- 3.3 Distribution Function -- 3.4 Probability Mass Function -- 3.5 Probability Density Function -- 3.6 Mixed Distributions -- 3.7 Parametric Models for Random Variables -- 3.8 Continuous Random Variables -- 3.8.1 Gaussian Random Variable (Normal) -- 3.8.2 Log-Normal Random Variable -- 3.8.3 Inverse Gaussian Random Variable (Wald) -- 3.8.4 Exponential Random Variable (One-Sided) -- 3.8.5 Laplace Random Variable (Double-Sided Exponential) -- 3.8.6 Cauchy Random Variable -- 3.8.7 Continuous Uniform Random Variable -- 3.8.8 Triangular Random Variable -- 3.8.9 Rayleigh Random Variable -- 3.8.10 Rice Random Variable…”

Tabla de Contenidos: “…16.6 Construction of the SEM -- 16.7 Factors Determining Image Quality -- 16.8 Summary -- 16.9 Exercises -- Appendix A: Process-Based Parallelism using Joblib -- A.1 Introduction to Process-Based Parallelism -- A.2 Introduction to Joblib -- A.3 Parallel Examples -- Appendix B: Parallel Programming using MPI4Py -- B.1 Introduction to MPI -- B.2 Need for MPI in Python Image Processing -- B.3 Introduction to MPI4Py -- B.4 Communicator -- B.5 Communication -- B.5.1 Point-to-Point Communication -- B.5.2 Collective Communication -- B.6 Calculating the Value of PI -- Appendix C: Introduction to ImageJ -- C.1 Introduction -- C.2 ImageJ Primer -- Appendix D: Matlab® and Numpy Functions -- D.1 Introduction -- Bibliography -- Index…”