Название: Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers
Автор: Каmаl I. М. Аl-Маlаh
Издательство: Wiley
Год: 2024
Страниц: 590
Язык: английский
Формат: pdf (true)
Размер: 50,4 MB

In-depth resource covering Machine Learning and Deep Learning methods using MATLAB tools and algorithms, providing insights and algorithmic decision-making processes. Machine and Deep Learning Using MATLAB introduces early career professionals to the power of MATLAB to explore machine and deep learning applications by explaining the relevant MATLAB tool or app and how it is used for a given method or a collection of methods. Its properties, in terms of input and output arguments, are explained, the limitations or applicability is indicated via an accompanied text or a table, and a complete running example is shown with all needed MATLAB command prompt code. The text also presents the results, in the form of figures or tables, in parallel with the given MATLAB code, and the MATLAB written code can be later used as a template for trying to solve new cases or datasets.

Название: Using MATLAB to Solve Statistical Problems: A Practical Guide to the Book “Statistics for Chemical and Process Engineers”
Автор: Yuri A. W. Shardt
Издательство: Springer
Год: 2023
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.2 MB

This companion book to the textbook Statistics for Chemical and Process Engineers−A Modern Approach provides a complete overview of how to use Matlab to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed, line-by-line MATLAB code for solving the specific problems. Furthermore, solutions are provided for standard problems that can then be re-used and modified as necessary. End-of-chapter questions allow the reader to independently test the knowledge acquired. As the usage of computers to solve complex problems becomes more commonplace, there is a need to understand how to use software to solve both basic and more complicated engineering problems, especially in statistics. One of the most common academic software for handling data is MATLAB, a programme originally developed to handle matrix manipulations and since expanded to include more complex capabilities. In the academic world, MATLAB is often the default engineering standard for data processing and manipulation. Thus, there is a need to understand how to implement the various statistical concepts easily and effortlessly in MATLAB.

Название: MATLAB Symbolic Math Toolbox User’s Guide (R2023b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: 2023
Страниц: 2350
Язык: английский
Формат: pdf (true)
Размер: 15.0 MB

Symbolic Math Toolbox provides functions for solving, graphing, and manipulating symbolic math equations. You can create, run, and share symbolic math codes, and get suggestions for next steps for working with symbols in the MATLAB Live Editor. The toolbox contains functions for common math areas such as calculus, linear algebra, algebraic equations, differential equations, equation simplification, and equation manipulation. The Symbolic Math Toolbox allows you to analytically perform differentiation, integration, simplification, transformations, and equation solving. Dimensional calculations and unit conversions are also possible. Calculations can be performed analytically or using arithmetic operations with variable precision, and the results are displayed in a math set. Symbolic calculations can be shared with other MATLAB users as "live" scripts or converted to HTML, Word, LaTex, or PDF documents. MATLAB functions, Simulink function blocks, and Simscape equations can be generated directly from symbolic expressions. You can generate C or Fortran code fragments from a symbolic expression, or generate files containing code fragments, using the ccode and fortran functions.

Название: Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes, 2nd Edition
Автор: Carmine Vittoria
Издательство: CRC Press
Год: 2024
Страниц: 493
Язык: английский
Формат: pdf (true)
Размер: 20.2 MB

Future microwave, wireless communication systems, computer chip designs, and sensor systems will require miniature fabrication processes in the order of nanometers or less as well as the fusion of various material technologies to produce composites consisting of many different materials. This requires distinctly multidisciplinary collaborations, implying that specialized approaches will not be able to address future world markets in communication, computer, and electronic miniaturized products. Anticipating that many students lack specialized simultaneous training in magnetism and magnetics, as well as in other material technologies, Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes avoids application-specific descriptions, opting for a general point of view of materials per se. Specifically, this book develops a general theory to show how a magnetic system of spins is coupled to acoustic motions, magnetoelectric systems, and superconductors. Phenomenological approaches are connected to atomic-scale formulations that reduce complex calculations to essential forms and address basic interactions at any scale of dimensionalities. With simple and clear coverage of everything from first principles to calculation tools, the book revisits fundamentals that govern magnetic, acoustic, superconducting, and magnetoelectric motions at the atomic and macroscopic scales, including superlattices.

Название: Computational Methods for Deep Learning (2nd Edition)
Автор: Wei Qi Yan
Издательство: Springer
Серия: Texts in Computer Science
Год: 2023
Страниц: 235
Язык: английский
Формат: pdf (true), epub
Размер: 25.1 MB

We have integrated materials on Deep Learning, Machine Learning, and computational mathematics, refining the contents to publish this book. Our aim is to provide a resource that benefits postgraduate students, particularly those working on their theses, by sharing our research outputs and teaching work to enhance their projects. In this book, we organize our material and present the story of Deep Learning in a progression from easy to difficult concepts in mathematics. We have structured the content with a focus on knowledge transfer from the perspective of machine intelligence. We begin by explaining artificial neural networks, including neuron design and activation functions. We then delve into the mechanics of Deep Learning using advanced mathematical concepts. At the end of each chapter, we emphasize the practical implementation of Deep Learning algorithms using Python-based platforms and the latest MATLAB toolboxes. Additionally, we provide a list of questions for reflection and discussion.

Название: Computational Methods with MATLAB
Автор: Erik Cuevas, Alberto Luque, Hector Escobar
Издательство: Springer
Год: 2024
Страниц: 217
Язык: английский
Формат: pdf (true), epub
Размер: 34.0 MB

The objective of this book is to present a comprehensive and consistent overview of numerical methods for undergraduate students and professionals in the engineering field. The book can also serve as a reference for engineering professionals who have the need to use MATLAB in their applications. This is because many of the MATLAB codes, presented after introducing the basic ideas of each algorithm, can be easily modified to solve similar problems even by those who do not know what goes on inside MATLAB routines and the algorithms they use. This book can be successfully used by two types of readers. The first type are those readers who require a detailed explanation of each algorithm and its potential. These readers are interested in knowing each method in such a way that they can modify the structure and make adaptations to solve their problems. The second are those readers who want to use numerical methods generically as subroutines. Just as most users of a household appliance need only know how to operate it to perform a task, these users need only know how to formulate their problems that they want to solve using MATLAB and how to use the corresponding routines to solve them. The book uses much more code than formal mathematics. This is because we are convinced that even readers with an excellent mathematical background have trouble understanding an approach until they see the algorithm implemented in code. This fact is because the implemented code removes all ambiguities.

Название: Metamaterials in Topological Acoustics
Автор: Sourav Banerjee
Издательство: CRC Press
Год: 2024
Страниц: 430
Язык: английский
Формат: pdf (true)
Размер: 38.4 MB

As an equivalent counterpart of topological research on photonics and condensed matter physics, acoustic metamaterials create an opportunity to explore the topological behaviors in phononics and physics of programmable acoustics. This book introduces the topological behavior of acoustics through the novel design of metamaterials. It provides valuable insight into acoustic metamaterials, from multidisciplinary fundamentals to cutting-edge research. The word ‘meta’ is now more popular than ever due to social media activities. ‘Meta’ is a word originated from Greek which means ‘beyond’. Thus, a metamaterial is the material that by definition does not exist in the world and its features are beyond the capability of current materials. A metamaterial is artificially made material by researchers. While comprising various internal components and exploring various geometric patterns, counter-intuitive physics or phenomena were explored by the researchers in metamaterials. Generally speaking, metamaterials developed in acoustics are periodic in nature. Periodic acoustic media can be one dimensional (1D), two dimensional (2D), or three dimensional (3D) in nature.

Название: Recipes for Communication and Signal Processing
Автор: Yasir Ahmed
Издательство: Springer
Серия: Signals and Communication Technology
Год: 2023
Страниц: 205
Язык: английский
Формат: pdf (true), epub
Размер: 42.8 MB

This textbook covers fundamental topics in Telecommunication including Channel Modeling, Modulation/Demodulation, Channel Coding/Decoding, Multicarrier, Capacity, Antenna Arrays, Diversity, and 4G/5G. It will also cover advanced topics such as High-Resolution Spectral Estimation, Reconfigurable Intelligent Surfaces, Index Modulation, Full-Duplex, and Millimeter Wave. This book will mainly target engineering students (both graduate and advanced undergraduate) who are new to the fields of Communication and Signal Processing and are struggling to understand the fundamental concepts. This book will help the students step by step by introducing the concepts first in their most basic form and then providing the code that the students can experiment with. It contains pedagogical elements such as chapter introductions, end-of-chapter questions and numerical problems, MATLAB/Octave/Python code, figures and tables, and a website (raymaps.com) for feedback and interaction. This book provides MATLAB and Python codes for beginners, which help in understanding and visualizing the working of different components of wireless systems. This book covers some novel topics such as full-duplex,
reconfigurable intelligent surfaces, and index modulation. It will not only be helpful for undergraduate and graduate students but also for professional engineers and hobbyists.

Название: Машинное зрение. Основы и алгоритмы с примерами на Matlab
Автор: Питep Kopк
Издательство: ДМК Пресс
Год: 2023
Страниц: 586
Язык: русский
Формат: pdf
Размер: 80.9 MB

Книга представляет собой введение в классическое компьютерное зрение. Автор показывает, как можно разложить на части и решить сложные задачи в этой сфере с помощью всего нескольких простых строк кода. Machine Vision Toolbox for MATLAB — открытое программное обеспечение, которое позволяет читателю легко применять алгоритмические концепции на практике и работать с нетривиальными задачами. Раскрываются теоретические основы алгоритмов, а многочисленные примеры кода иллюстрируют его использование. Все сгенерированные MATLAB рисунки были обновлены, чтобы отразить последние улучшения графики MATLAB, и все примеры кода были обновлены и протестированы в соответствии с актуальными требованиями и доступны в виде MATLAB Live Scripts. Книга предполагает знание линейной алгебры (матрицы, векторы, собственные значения), базовой теории групп и теории графов на уровне бакалавра. Некоторые из этих тем, вероятно, будут лучше знакомы студентам инженерных специальностей, чем студентам, изучающим информатику. Книга также предполагает, что читатель знаком с моделированием и программированием в MATLAB, а также с методами объектно ориентированного программирования (возможно, C++, Java или Python).

Название: Practical Geolocation for Electronic Warfare Using MATLAB
Автор: Artech House
Издательство: Nicholas A. O’Donoughue
Год: 2022
Страниц: 243
Язык: английский
Формат: pdf (true)
Размер: 19.9 MB

This text explores the practical realities that arise from the employment of geolocation for electronic warfare in real-world systems, including position of the target, errors in sensor position, orientation, or velocity, and the impact of repeated measurements over time. The problems solved in the book have direct relevance to accurately locating and tracking UAVs, planes, and ships. With its unique and updated coverage of detailed geolocation techniques and data, and easy linkable access to additional software and videos, this is a must-have book for engineers and electronic warfare practitioners who need the best information available on the development or employment of geolocation algorithms. It is also a useful teaching resource for faculty and students in engineering departments covering RF signal processing topics, as well as anyone interested in novel applications of SDR's and UAVs. This book is written with companion MATLAB software to illustrate the concepts discussed, and to provide a functional starting point for readers to conduct their own research. The software is repeatedly referenced, and readers are strongly encouraged to run the examples and figure generation scripts as they read, to reinforce understanding. We tested our code on MATLAB R2020b.