Tabla de Contenidos: “…7.1.1 Purpose of Battery Modeling -- 7.1.2 Battery Modeling Requirement of BMS -- 7.2 Common Battery Models and Their Deficiencies -- 7.2.1 Non-circuit Models -- 7.2.2 Equivalent Circuit Models -- 7.3 External Characteristics of the Li-Ion Power Battery and Their Analysis -- 7.3.1 Electromotive Force Characteristic of the Li-Ion Battery -- 7.3.2 Over-potential Characteristics of the Li-Ion Battery -- 7.4 A Power Battery Model Based on a Three-Order RC Network -- 7.4.1 Establishment of a New Power Battery Model -- 7.4.2 Estimation of Model Parameters -- 7.5 Model Parameterization and Its Online Identification -- 7.5.1 Offline Extension Method of Model Parameters -- 7.5.2 Online Identification Method of Model Parameters -- 7.6 Battery Cell Simulation Model -- 7.6.1 Realization of Battery Cell Simulation Model Based on Matlab/Simulink -- 7.6.2 Model Validation -- References -- Part III Functions of BMS -- 8 Battery Monitoring -- 8.1 Discussion on Real Time and Synchronization -- 8.1.1 Factors Causing Delay -- 8.1.2 Synchronization -- 8.1.3 Negative Impact of Non-real-time and Non-synchronous Problems -- 8.1.4 Proposal on Solution -- 8.2 Battery Voltage Monitoring -- 8.2.1 Voltage Monitoring Based on a Photocoupler Relay Switch Array (PhotoMOS) -- 8.2.2 Voltage Monitoring Based on a Differential Operational Amplifier -- 8.2.3 Voltage Monitoring Based on a Special Integrated Chip -- 8.2.4 Comparison of Various Voltage Monitoring Schemes -- 8.2.5 Significance of Accurate Voltage Monitoring for Effective Capacity Utilization of the Battery Pack -- 8.3 Battery Current Monitoring -- 8.3.1 Accuracy -- 8.3.2 Current Monitoring Based on Series Resistance -- 8.3.3 Current Monitoring Based on a Hall Sensor -- 8.3.4 A Compromised Method -- 8.4 Temperature Monitoring -- 8.4.1 Importance of Temperature Monitoring -- 8.4.2 Common Implementation Schemes…”

“…The physical layer technologies include flexible multi-carrier waveforms, advanced multi-antenna solutions, and channel coding schemes for a wide range of services, deployments, and frequencies envisioned for 5G and beyond. A MATLAB-based link level simulator is included to explore various design options…”

Tabla de Contenidos: “…Reducing the problem to statistics -- Understanding that deep learning doesn't create -- Mimicking an Artist -- Defining a new piece based on a single artist -- Combining styles to create new art -- Visualizing how neural networks dream -- Using a network to compose music -- Chapter 16 Building Generative Adversarial Networks -- Making Networks Compete -- Finding the key in the competition -- Achieving more realistic results -- Considering a Growing Field -- Inventing realistic pictures of celebrities -- Enhancing details and image translation -- Chapter 17 Playing with Deep Reinforcement Learning -- Playing a Game with Neural Networks -- Introducing reinforcement learning -- Simulating game environments -- Presenting Q-learning -- Explaining Alpha-Go -- Determining if you're going to win -- Applying self-learning at scale -- Part 4 The Part of Tens -- Chapter 18 Ten Applications that Require Deep Learning -- Restoring Color to Black-and-White Videos and Pictures -- Approximating Person Poses in Real Time -- Performing Real-Time Behavior Analysis -- Translating Languages -- Estimating Solar Savings Potential -- Beating People at Computer Games -- Generating Voices -- Predicting Demographics -- Creating Art from Real-World Pictures -- Forecasting Natural Catastrophes -- Chapter 19 Ten Must-Have Deep Learning Tools -- Compiling Math Expressions Using Theano -- Augmenting TensorFlow Using Keras -- Dynamically Computing Graphs with Chainer -- Creating a MATLAB-Like Environment with Torch -- Performing Tasks Dynamically with PyTorch -- Accelerating Deep Learning Research Using CUDA -- Supporting Business Needs with Deeplearning4j -- Mining Data Using Neural Designer -- Training Algorithms Using Microsoft Cognitive Toolkit (CNTK) -- Exploiting Full GPU Capability Using MXNet -- Chapter 20 Ten Types of Occupations that Use Deep Learning -- Managing People…”

Tabla de Contenidos: “…7.4 Real-time OTFS software-defined radio implementation -- 7.4.1 Effect of DC offset on channel estimation -- 7.4.2 Effect of carrier frequency offset on channel estimation -- 7.4.3 Experiment setup, results, and discussion -- 7.5 Bibliographical notes -- References -- 8 MIMO and multiuser OTFS -- 8.1 Introduction -- 8.2 System model for MIMO-OTFS -- 8.2.1 Transmitter and receiver -- 8.2.2 Channel -- 8.2.3 Input-output relation for MIMO-OTFS -- 8.2.3.1 Time domain -- 8.2.3.2 Delay-Doppler domain -- 8.2.3.3 Delay-time domain -- 8.3 Detection methods -- 8.3.1 Linear minimum mean-square error detector -- 8.3.2 Message passing detector -- 8.3.3 Maximum-ratio combining detector -- 8.3.3.1 Delay-Doppler domain MRC detection -- 8.3.3.2 Reduced complexity delay-time domain implementation -- 8.3.3.3 MRC detection complexity -- 8.4 MIMO-OTFS channel estimation -- 8.5 Multiuser OTFS channel estimation -- 8.6 Numerical results and discussion -- 8.7 Bibliographical notes -- References -- 9 Conclusions and future directions -- 9.1 OTFS key advantages -- 9.2 Pros and cons of OTFS variants -- 9.3 Other research directions -- 9.3.1 Channel estimation and PAPR reduction -- 9.3.2 Channels with fast time-varying delay-Doppler paths -- 9.3.3 Multiuser communications -- 9.3.4 Massive MIMO-OTFS -- 9.3.5 OTFS for RadCom -- 9.3.6 Orthogonal time sequency multiplexing and precoding design -- 9.3.7 Machine learning for OTFS -- References -- A Notation and acronyms -- B Some useful matrix properties -- B.1 The DFT matrix -- B.2 Permutation matrices -- B.3 Circulant matrices -- B.4 Linear and circular convolutions -- B.5 2D transforms, doubly circulant block matrices, and 2D circular convolution -- C Some MATLAB® code and examples -- C.1 Transmitter -- C.2 Channel -- C.3 Receiver -- C.4 Generate G matrix and received signal for OTFS variants -- Index -- Back Cover…”

Tabla de Contenidos: “…BLAS -- 4.3.2. LAPACK -- 4.3.3. MATLAB -- References -- 5. Thin Wires -- 5.1. Thin Wire Approximation -- 5.2. …”

Tabla de Contenidos: “…9.2.3 Review of Current Solutions -- 9.2.4 Current Treatment -- 9.3 Technology -- 9.3.1 Touchless User Interface -- 9.3.2 IR Sensor Working Principle -- 9.4 IoT Sensors and Board -- 9.4.1 Arduino UNO Board -- 9.4.2 Arduino USB Cable -- 9.4.3 Pulse Rate Sensor -- 9.4.4 IR Sensor -- 9.4.5 Temperature Sensors -- 9.4.6 Proximity Sensors -- 9.4.7 Pressure Sensors -- 9.4.8 LCD Display -- 9.4.9 Relay -- 9.4.10 Power Supply -- 9.4.11 Jumping Wires -- 9.5 Use of IoT in COVID-19 Prevention -- 9.6 Conclusion -- References -- Chapter 10 Role of Satellites in Agriculture -- 10.1 Introduction -- 10.2 Processing Satellite Images -- 10.3 Product Levels of Satellite Remote Sensing Data -- 10.3.1 A Brief Discussion and Review of Analysis Techniques -- 10.3.2 Machine Learning -- 10.3.3 Deep Learning -- 10.4 Future Challenges -- 10.5 Conclusion -- References -- Chapter 11 Search Engine Evaluation Methodology -- 11.1 Introduction -- 11.2 Performance Evaluation Forum -- 11.2.1 Text Retrieval Conference -- 11.2.2 Text Retrieval Conference Tracks -- 11.3 Search Engine Evaluation Parameters -- 11.3.1 Precision -- 11.3.2 Recall -- 11.3.3 Problems with Precision and Recall -- 11.3.4 Discounted Cumulative Gain -- 11.3.5 Normalized DCG -- 11.3.6 Click-Through -- 11.3.7 Eye Tracking -- 11.3.8 Coverage -- 11.3.9 Response Time -- 11.4 Factors Affecting Search Engines -- 11.4.1 Evaluation -- 11.4.2 Query Formulation -- 11.4.3 User Feedback to a Web Page -- 11.4.4 W3 Rules -- 11.4.5 Web Developers' Fake Techniques -- 11.5 Conclusion -- References -- Chapter 12 Synthesis and Analysis of Digital IIR Filters for Denoising ECG Signal on FPGA -- 12.1 Introduction -- 12.2 Literature Survey -- 12.3 Methods and Materials -- 12.3.1 Conversion of MATLAB Code into Verilog HDL -- 12.3.2 Synthesis of Digital Filters on FPGA -- 12.4 Results and Discussion -- 12.4.1 Butterworth Filter…”

Tabla de Contenidos: “…2 Background -- 2.1 Fairness of the Learned Model -- 2.2 Fairness in the Presence of Dataset Bias -- 3 Overview of Our Method -- 3.1 The KNN Algorithm -- 3.2 Certifying the KNN Algorithm -- 4 Abstracting the KNN Prediction Step -- 4.1 Finding the K-Nearest Neighbors -- 4.2 Checking the Classification Result -- 5 Abstracting the KNN Learning Step -- 5.1 Overapproximating the Classification Error -- 5.2 Underapproximating the Classification Error -- 6 Experiments -- 7 Related Work -- 8 Conclusions -- References -- Monitoring Algorithmic Fairness -- 1 Introduction -- 1.1 Motivating Examples -- 1.2 Related Work -- 2 Preliminaries -- 2.1 Markov Chains as Randomized Generators of Events -- 2.2 Randomized Register Monitors -- 3 Algorithmic Fairness Specifications and Problem Formulation -- 3.1 Probabilistic Specification Expressions -- 3.2 The Monitoring Problem -- 4 Frequentist Monitoring -- 4.1 The Main Principle -- 4.2 Implementation of the Frequentist Monitor -- 5 Bayesian Monitoring -- 5.1 The Main Principle -- 5.2 Implementation of the Bayesian Monitor -- 6 Experiments -- 7 Conclusion -- References -- nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models -- 1 Introduction -- 2 Background and Related Work -- 2.1 Natural Language to Linear-Time Temporal Logic -- 2.2 Large Language Models -- 3 The nl2spec Framework -- 3.1 Overview -- 3.2 Interactive Few-Shot Prompting -- 4 Evaluation -- 4.1 Study Setup -- 4.2 Results -- 5 Conclusion -- References -- NNV 2.0: The Neural Network Verification Tool -- 1 Introduction -- 2 Related Work -- 3 Overview and Features -- 3.1 NNV 2.0 vs NNV -- 4 Evaluation -- 4.1 Comparison to MATLAB's Deep Learning Verification Toolbox -- 4.2 Neural Ordinary Differential Equations -- 4.3 Recurrent Neural Networks -- 4.4 Semantic Segmentation -- 5 Conclusions -- References…”

“…"The fully revised new edition of the popular textbook, featuring additional MATLAB exercises and new algorithms for processing digital audio signals Digital Audio Signal Processing (DASP) techniques are used in a variety of applications, ranging from audio streaming and computer-generated music to real-time signal processing and virtual sound processing. …”

“…This hands-on, example-packed book walks you through everything you need to know about interfacing multiple languages in Windows, including combinations of C/C++ and Visual C++ 6.0; Visual Basic 6.0; MATLAB, MATLAB Compiler, and the MATLAB graphics and C/C++ math libraries; Smalltalk; VisualWorks; LabVIEW, LabWindows/CVI, Measurement Studio for Visual C++ and Measurement Studio for Visual Basic; Java 1.2 and 1.3; Perl; and more. …”

Tabla de Contenidos: “…4.5.2 Effect of Finite Slew Rate on CT-ΣΔMs 133 -- 4.6 Sources of Distortion in CT-ΣΔMs 134 -- 4.6.1 Nonlinearities in the Front-end Integrator 134 -- 4.6.2 Intersymbol Interference in the Feedback DAC 136 -- 4.7 Circuit Noise in CT-ΣΔMs 137 -- 4.7.1 Noise Analysis Considering NRZ Feedback DACs 137 -- 4.7.2 Noise Analysis Considering SC Feedback DACs 139 -- 4.8 Clock Jitter in CT-ΣΔMs 140 -- 4.8.1 Jitter in Return-to-zero DACs 141 -- 4.8.2 Jitter in Non-return-to-zero DACs 142 -- 4.8.3 Jitter in Switched-capacitor DACs 144 -- 4.8.4 Lingering Effect of Clock Jitter Error 145 -- 4.8.5 Reducing the Effect of Clock Jitter with FIR and Sine-shaped DACs 147 -- 4.9 Excess Loop Delay in CT-ΣΔMs 149 -- 4.9.1 Intuitive Analysis of ELD 149 -- 4.9.2 Analysis of ELD based on Impulse-invariant DT-CT Transformation 151 -- 4.9.3 Alternative ELD Compensation Techniques 154 -- 4.10 Quantizer Metastability in CT-ΣΔMs 155 -- 4.11 Summary 159 -- References 160 -- 5 Behavioral Modeling and High-level Simulation 165 -- 5.1 Systematic Design Methodology of ΣΔ Modulators 165 -- 5.1.1 System Partitioning and Abstraction Levels 167 -- 5.1.2 Sizing Process 167 -- 5.2 Simulation Approaches for the High-level Evaluation of ΣΔMs 169 -- 5.2.1 Alternatives to Transistor-level Simulation 169 -- 5.2.2 Event-driven Behavioral Simulation Technique 171 -- 5.2.3 Programming Languages and Behavioral Modeling Platforms 172 -- 5.3 Implementing ΣΔM Behavioral Models 173 -- 5.3.1 From Circuit Analysis to Computational Algorithms 173 -- 5.3.2 Time-domain versus Frequency-domain Behavioral Models 175 -- 5.3.3 Implementing Time-domain Behavioral Models in MATLAB 178 -- 5.3.4 Building Time-domain Behavioral Models as SIMULINK C-MEX S-functions 182 -- 5.4 Efficient Behavioral Modeling of ΣΔM Building Blocks using C-MEX S-functions 188 -- 5.4.1 Modeling of SC Integrators using S-functions 188 -- 5.4.1.1 Capacitor Mismatch and Nonlinearity 190.…”

“…The codes may also be used by readers for their research and development activities in their academic or industrial organizations. An accompanying MATLAB® software guide is also included. An accompanying MATLAB® software guide is included, and readers can download the software to use with the guide at ftp://ftp.wiley.com/public/sci_tech_med/computational_lithography . …”

“…The following crucial subjects are then covered in the presentation: * Digital Control System Analysis and Design-extends the continuous concepts presented to discrete systems * Nonlinear Control System Design-extends the linear concepts presented tononlinear systems * Introduction to Optimal Control Theory and Its Applications-presents such key topics as dynamic programming and the maximum principle, as well as applications to the space attitude control problem and the lunar soft-landing problem * Control System Design Examples: Complete Case Studies-presents the complete case studies of five control system design examples that illustrate practical design projects Other notable features of this volume are: * Free MATLAB software containing problem solutions which can be retrieved from the Mathworks, Inc. anonymous FTP server at ftp://ftp.mathworks.com/pub/books/advshinners * MATLAB programs and a tutorial on the use of MATLAB incorporated directly into the text * An extensive set of worked-out, illustrative solutions added in dedicated sections at the end of chapters * End-of-chapter problems-one-third with answers to facilitate self-study * A solutions manual containing solutions to the remaining two-thirds of the problems available from the Wiley editorial department…”

“…Readers can explore their own application development with any programming language, including C/C++, MATLAB®, Python and R, and software is provided for both the Windows/C/C++ and MATLAB environments.The book can be used by the academic community in teaching and research, with over 1,000 PowerPoint slides and a complete solutions manual to the over 230 included problems. …”

“…Written to serve a number of experience levels, it can be used either as a course textbook or practitioner's reference. Access the MATLAB code, solution manual, and lecture materials at the companion website: <a href="http://www.wiley.com/go/bhattacharyya">www.wiley.com/go/bhattacharyya</a>…”

“…This important resource: • Includes statistical analysis of engineering design parameters using Statistical Package for the Social Sciences (SPSS) • Presents Monte Carlos simulation using Crystal ball to quantify uncertainty and sensitivity of design parameters • Contains design methods of new energy, materials, processes, products, and system to achieve energy positive WRRF that are illustrated with Matlab • Provides information on life cycle costs in terms of capital and operation for different processes using MatLab Written for senior or graduates in environmental or chemical engineering, Sustainable Environmental Engineering defines and illustrates the TDPs of SE..…”

“…Other notable features include: Two new chapters covering wavelet packets and the lifting method; A reorganization of the presentation so that basic filters can be constructed without the use of Fourier techniques; A new comprehensive chapter that explains filter derivation using Fourier techniques; Over 120 examples of which 91 are “live examples,” which allow the reader to quickly reproduce these examples in Mathematica or MATLAB and deepen conceptual mastery; An overview of digital image basics, equipping readers with the tools they need to understand the image processing applications presented; A complete rewrite of the DiscreteWavelets package called WaveletWare for use with Mathematica and MATLAB; A website, www.stthomas.edu/wavelets, featuring material containing the WaveletWare package, live examples, and computer labs in addition to companion material for teaching a course using the book. …”

“…Finally, he guides readers through translating mathematical algorithms into MATLAB® code and verifying solutions. Topics covered include Step-by-step approach to the design of algorithms Comparing and choosing signal and noise models Performance evaluation, metrics, tradeoffs, testing, and documentation Optimal approaches using the “big theorems” Algorithms for estimation, detection, and spectral estimation Complete case studies: Radar Doppler center frequency estimation, magnetic signal detection, and heart rate monitoring Exercises are presented throughout, with full solutions, and executable MATLAB code that implements all the algorithms is available for download. …”

“…Exercise solutions and MATLAB® examples are provided online. Also available as Open Access on Cambridge Core…”

“…After reading the book, the reader will understand theoretical foundations of image and video processing methods learn the most popular and successful techniques to solve common image and video processing problems reinforce their understanding by solving problems and doing MATLAB projects at the end of each chapter…”

“…An appendix describes MATLAB (R) programs that apply to the book's calculations…”