Название: Coding Examples from Simple to Complex: Applications in MATLAB
Автор: Раul А. Gаgniuс
Издательство: Springer
Серия: Synthesis Lectures on Computer Science
Год: 2024
Страниц: 275
Язык: английский
Формат: pdf (true), epub
Размер: 105.4 MB

This book provides a comprehensive guide to Matlab, which stands as the cornerstone of modern education and is the main computer language driving development in science and engineering. The author introduces readers to the rich world of Matlab, taking them on a journey from the fundamentals to advanced topics, equipping them with the knowledge and skills needed to become a proficient Matlab developer or scientist. The book provides a treasure trove of practical examples, meticulously crafted to deepen the reader understanding of Matlab. This comprehensive exploration is designed to cater to novice learners as well as mature developers and scientists, equipping them with the requisite knowledge and competencies to harness the Matlab full potential in their respective projects. From the basics of variable naming and program structure to complex matrix operations, recursion, and object-oriented programming, this book covers it all. This book is part of a series of worksdesigned to present both the examples and their explanations in various computer languages, as close to a mirror version as possible. The chosen language is MATLAB, a programming language oriented towards scientists and engineers, focusing especially on numeric computation. This makes the book especially useful for students in engineering domains, such as mechanical engineering and electrical engineering, who often lack an introductory course in their language of choice.

Название: 5G NR Modelling in MATLAB: Network Architecture, Protocols, and Physical Layer
Автор: Тulsi Раwаn Fоwdur, Маdhаvsingh Indооnundоn, Drаgоrаd А. Мilоvаnоviс
Издательство: CRC Press
Год: 2025
Страниц: 450
Язык: английский
Формат: pdf (true)
Размер: 48.8 MB

5G is the fifth generation of cellular technology. It is designed to increase speed, reduce latency, and improve the flexibility of wireless services. 5G New Radio (NR) is the enabler of three key service classes: Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communications (URLLC), and Massive Machine-Type Communications (mMTC). The 5G network is expected to deliver a wide range of services that includes eMBB, mMTC, and URLLC. To realize such a diverse set of requirements, the 5G network has evolved as a multilayer network that uses various technological advances to offer an extensive range of wireless services. Several technologies, such as software-defined networking, network function virtualization, edge computing, cloud computing, and small cells, are being integrated into the 5G networks to fulfill the need for diverse requirements. This book provides a detailed description of the fundamental aspects of 5G. It gives an in-depth coverage of the network architecture of 5G by considering both the network reference point architecture and the service-based architecture. The MathWorks introduced MATLAB’s 5G Toolbox which provides standard-compliant functions and examples for the simulation of the 5G environment. In this book, functions from the toolbox were used to build the 5G NR end-to-end physical layer model for Packet Data Shared Channel (PDSCH) processing and to calculate the PDSCH throughput, Bit Error Rate (BER), and Block Error Rate (BLER). Moreover, MATLAB models of each block have been used to simulate a complete 5G downlink system.

Название: Image Processing Recipes in MATLAB
Автор: Оgе Маrquеs, Gustаvо Веnvеnutti Воrbа
Издательство: CRC Press
Год: 2024
Страниц: 263
Язык: английский
Формат: pdf (true)
Размер: 32.5 MB

Leveraging the latest developments in MATLAB and its image processing toolbox, this 'cookbook' is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. Presented in a clear and meaningful sequence, these recipes are prepared with the reader in mind, allowing one to focus on particular topics or read as a whole from cover to cover. This is a cookbook containing 30 recipes that showcase classic and modern image processing techniques using MATLAB. This book aims to provide a concise and easily understandable reference for deploying image processing pipelines quickly and efficiently in MATLAB. The recipes cover the latest developments in MATLAB and relevant toolboxes, including a wide range of image processing methods. These methods range from foundational techniques found in textbooks to popular contemporary algorithms. The book serves as a concise and readable practical reference to deploy image processing pipelines in MATLAB quickly and efficiently. With its accessible and practical approach, the book is a valuable guide for those who navigate this evolving area, including researchers, students, developers, and practitioners in the fields of image processing, computer vision, and image analysis.

Название: Electrical Drive Simulation with MATLAB/Simulink: Selected Technologies
Автор: Viktоr Реrеlmutеr
Издательство: CRC Press
Год: 2024
Страниц: 273
Язык: английский
Формат: pdf (true)
Размер: 34.3 MB

The book discusses the modeling of electric drives, taking into account their relationship with the technological process they serve, which significantly affects the composition, layout and characteristics of the electric drive. There are no published books of this kind, and this book fills a gap in the literature. The book deals with electric drives of rolling mills, paper machines, a number of hoisting and transport devices; these installations are very common and very complex, so that modeling methods in their development and study are mandatory. More than 100 models of the electrical drives that are made with use of the program environment MATLAB/Simulink, are appended to the book. The aims of these models are to aid students studying electrical drives of the various manufacturing machines, to facilitate the understanding of various electrical drive functions; and to create a platform for the development of systems by readers in their fields. Modern electric drives of many production processes and mechanisms are very complex devices, and the availability of modern and effective methods of mathematical modeling of such systems can significantly facilitate and speed up the creation of such electric drives. The graphical programming language MATLAB/Simulink and the set of Electrical/Specialized Power Systems blocks included in it greatly facilitate the creation of models of electrical engineering objects.

Название: MATLAB Machine Learning Recipes: A Problem-Solution Approach, 3rd Edition
Автор: Мiсhаеl Раluszеk, Stерhаniе Тhоmаs
Издательство: Apress
Год: 2024
Страниц: 458
Язык: английский
Формат: pdf
Размер: 16.8 MB

Harness the power of MATLAB to resolve a wide range of Machine Learning challenges. This new and updated third edition provides examples of technologies critical to Machine Learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution. This book has something for everyone interested in Machine Learning. It also has material that will allow those with an interest in other technology areas to see how Machine Learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.

Название: Radar and Ew Modeling in Matlab and Simulink
Автор: Саrlоs А. Dаvilа, Glеnn D. Норkins, Grеgоrу А. Shоwmаn
Издательство: Artech House
Год: 2024
Страниц: 503
Язык: английский
Формат: pdf (true)
Размер: 31.2 MB

This book develops modeling and simulation (M&S) techniques for modern radars and electronic warfare (EW) systems. It covers basic concepts and modeling examples for the three "pillars" of EW: electronic attack (EA) systems, electronic protection (EP) techniques, and electronic support (ES). The book provides a comprehensive overview of the M&S techniques used in these systems, and its many examples and case studies provide a solid foundation for understanding how these techniques can be applied in practice. A valuable resource for engineers, scientists, and managers who are involved in the design, development, or testing of radar and EW systems. It provides a comprehensive overview of the M&S techniques that are used in these systems, and the book's many examples and case studies provide a solid foundation for understanding how these techniques can be applied in practice.

Название: Statistics and Data Analysis for Engineers and Scientists
Автор: Таnvir Мustаfу, Мd. Таuhid Ur Rаhmаn
Издательство: Springer
Год: 2024
Страниц: 190
Язык: английский
Формат: pdf
Размер: 10.1 MB

This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and Machine Learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.

Автор: Гольдштейн А.Л.
Название: Оптимизация в среде MATLAB: учебное пособие
Издательство: Пермь: Изд-во Пермского национального исследовательского политехнического университета
Год: 2015
ISBN: 978-5-398-01361-0
Язык: Русский
Формат: djvu
Размер: 22,5 Мб
Качество: хорошее, текстовый слой, оглавление.
Кол-во страниц: 192

Описание: Система компьютерной математики Matlab имеет развитый высокоуровневый язык программирования и прекрасную двумерную и трехмерную графику, позволяющую наглядно представлять результаты расчетов, экспериментов и процессы моделирования.

Название: Fractal Patterns with MATLAB
Автор: Sаntо Ваnеrjее, А. Gоwrisаnkаr, Коmаndlа Маhiраl Rеddу
Издательство: Springer
Год: 2024
Язык: английский
Формат: pdf (true), epub
Размер: 26.3 MB

This book presents the iterative beauty of fractals and fractal functions graphically with the aid of MATLAB programming. The fractal images generated using the MATLAB codes provide visual delight and highly encourage the fractal lovers for creative thinking. The book compiles five cutting-edge research chapters, each with state-of-the art fractal illustrations. It starts with the fundamental theory for the construction of fractal sets via the deterministic iteration algorithm. Incorporating the theoretical base, fractal illustrations of elementary fractal sets are provided with the explicit MATLAB code. The book gives examples of MATLAB codes to present the fractal surfaces. This book is contributed to all the research beginners as well as the professionals on the field of fractal analysis. As it covers basic fractals like Sierpinski triangle to advanced fractal functions with explicit MATLAB code, the presented fractal illustrations hopefully benefit even the non-field readers. The book is a useful course to all the research beginners on the fractal and fractal-related fields.

Название: Image Processing and Machine Learning, Volume 1: Foundations of Image Processing
Автор: Еrik Сuеvаs, Аlmа Nауеli Rоdríguеz
Издательство: CRC Press
Год: 2024
Страниц: 225
Язык: английский
Формат: pdf (true)
Размер: 40.9 MB

Image processing and Machine Learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, Machine Learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches. Divided into two volumes, this first installment explores the fundamental concepts and techniques in image processing, starting with pixel operations and their properties and exploring spatial filtering, edge detection, image segmentation, corner detection, and geometric transformations. Our primary objective was to create a comprehensive textbook that serves as an invaluable resource for an image processing class. With this goal in mind, we carefully crafted a book that encompasses both the theoretical foundations and practical applications of the most prevalent image processing methods. From pixel operations to geometric transformations, spatial filtering to image segmentation, and edge detection to color image processing, we have meticulously covered a wide range of topics essential to understanding and working with images. Moreover, recognizing the increasing relevance of ML in image processing, we have incorporated fundamental ML concepts and their applications in this field. By introducing readers to these concepts, we aim to equip them with the necessary knowledge to leverage ML techniques for various image processing tasks. Volume 1 is organized in a way that allows readers to easily understand the goal of each chapter and reinforce their understanding through practical exercises using MATLAB programs.