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Matlab Graphics And Data Visualization Cookbook
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Book Synopsis MATLAB Graphics and Data Visualization Cookbook by : Nivedita Majumdar
Download or read book MATLAB Graphics and Data Visualization Cookbook written by Nivedita Majumdar and published by Packt Publishing. This book was released on 2012 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: "MATLAB Graphics and Data Visualization Cookbook" will serve as your handbook in recipe format with ample screenshots. Each independent recipe will help you in achieving target-oriented solutions to your problems with concise explanation. For those who are already using MATLAB for their computational needs but need to also harness its powerful visualization capabilities.
Book Synopsis Matlab: Data Analysis And Visualization by : Antonio Siciliano
Download or read book Matlab: Data Analysis And Visualization written by Antonio Siciliano and published by World Scientific Publishing Company. This book was released on 2008-10-20 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB is currently the language of technical computing most known and used in academia, industry and services. It is composed of a set of tools and a very large number of functions, graphics objects with associated properties and operators.The book begins by looking at the main tools, in particular the Desktop, the Command and History Window, the Editor and the Help Browser. The selected number of functions, graphics objects, related properties and operators, considered fundamental in MATLAB, is a unique and remarkable feature of this book. These basic elements are minutely treated both formally and through examples.The arrangement of every data type as an array is another prominent emphasis of the book. Numerical data used in advanced mathematics usually defined as vectors or matrices are only one example. Others include logical values, strings of characters, dates, images, etc.Standard programming structures, like the many patterns of user functions and of the flow controls, are highlighted.The basic elements of data visualization — the main graphics objects and their properties — are also carefully examined.
Book Synopsis Graphics and GUIs with MATLAB by : Patrick Marchand
Download or read book Graphics and GUIs with MATLAB written by Patrick Marchand and published by CRC Press. This book was released on 1999-04-23 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition provides illustrative example sets to simplify the process of learning and mastering the powerful, flexible, and easy-to-use MATLAB graphics environment. It shows how to maximize the high performance and open-environment capabilities for generating, displaying, and analyzing numerical data as well as how to quickly create interesting and beautiful graphics. The book covers plotting, color, animation, the new z buffer algorithm, new functions for generating graphics for presentations, and GUI programming techniques. Designed as both an introduction as well as an advanced learning tool, the book uses step-by-step tutorials with a level of detail, explanation, and instruction that allows readers to discover the full potential of the MATLAB graphics programming capability.
Book Synopsis Fundamentals of Graphics Using MATLAB by : Ranjan Parekh
Download or read book Fundamentals of Graphics Using MATLAB written by Ranjan Parekh and published by CRC Press. This book was released on 2019-11-26 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces fundamental concepts and principles of 2D and 3D graphics and is written for undergraduate and postgraduate students of computer science, graphics, multimedia, and data science. It demonstrates the use of MATLAB® programming for solving problems related to graphics and discusses a variety of visualization tools to generate graphs and plots. The book covers important concepts like transformation, projection, surface generation, parametric representation, curve fitting, interpolation, vector representation, and texture mapping, all of which can be used in a wide variety of educational and research fields. Theoretical concepts are illustrated using a large number of practical examples and programming codes, which can be used to visualize and verify the results. Key Features: Covers fundamental concepts and principles of 2D and 3D graphics Demonstrates the use of MATLAB® programming for solving problems on graphics Provides MATLAB® codes as answers to specific numerical problems Provides codes in a simple copy and execute format for the novice learner Focuses on learning through visual representation with extensive use of graphs and plots Helps the reader gain in-depth knowledge about the subject matter through practical examples Contains review questions and practice problems with answers for self-evaluation
Book Synopsis Exploratory Data Analysis with MATLAB by : Wendy L. Martinez
Download or read book Exploratory Data Analysis with MATLAB written by Wendy L. Martinez and published by CRC Press. This book was released on 2017-08-07 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data
Book Synopsis Collecting, Processing and Presenting Geoscientific Information by : Martin H. Trauth
Download or read book Collecting, Processing and Presenting Geoscientific Information written by Martin H. Trauth and published by Springer. This book was released on 2018-03-26 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition is an intensively revised and updated version of the book MATLAB® and Design Recipes for Earth Sciences. It aims to introduce students to the typical course followed by a data analysis project in earth sciences. A project usually involves searching relevant literature, reviewing and ranking published books and journal articles, extracting relevant information from the literature in the form of text, data, or graphs, searching and processing the relevant original data using MATLAB, and compiling and presenting the results as posters, abstracts, and oral presentations using graphics design software. The text of this book includes numerous examples on the use of internet resources, on the visualization of data with MATLAB, and on preparing scientific presentations. As with the book MATLAB Recipes for Earth Sciences–4rd Edition (2015), which demonstrates the use of statistical and numerical methods on earth science data, this book uses state-of-the art software packages, including MATLAB and the Adobe Creative Suite, to process and present geoscientific information collected during the course of an earth science project. The book's supplementary electronic material (available online through the publisher's website) includes color versions of all figures, recipes with all the MATLAB commands featured in the book, the example data, exported MATLAB graphics, and screenshots of the most important steps involved in processing the graphics.
Book Synopsis MATLAB® and Design Recipes for Earth Sciences by : Martin H. Trauth
Download or read book MATLAB® and Design Recipes for Earth Sciences written by Martin H. Trauth and published by Springer Science & Business Media. This book was released on 2012-09-14 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The overall aim of the book is to introduce students to the typical course followed by a data analysis project in earth sciences. A project usually involves searching relevant literature, reviewing and ranking published books and journal articles, extracting relevant information from the literature in the form of text, data, or graphs, searching and processing the relevant original data using MATLAB, and compiling and presenting the results as posters, abstracts, and oral presentations using graphics design software. The text of this book includes numerous examples on the use of internet resources, on the visualization of data with MATLAB, and on preparing scientific presentations. As with its sister book MATLAB Recipes for Earth Sciences–3rd Edition (2010), which demonstrates the use of statistical and numerical methods on earth science data, this book uses state-of-the art software packages, including MATLAB and the Adobe Creative Suite, to process and present geoscientific information collected during the course of an earth science project. The book's supplementary electronic material (available online through the publisher's website) includes color versions of all figures, recipes with all the MATLAB commands featured in the book, the example data, exported MATLAB graphics, and screenshots of the most important steps involved in processing the graphics.
Book Synopsis MATLAB Recipes by : Michael Paluszek
Download or read book MATLAB Recipes written by Michael Paluszek and published by Apress. This book was released on 2015-11-23 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. This is a practical reference for industry engineers using MATLAB to solve everyday problems. With MATLAB Recipes: A Problem-Solution Approach you will review contemporary MATLAB coding including the latest language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. This book provides practical guidance for using MATLAB to build a body of code you can turn to time and again for solving technical problems in your line of work. Develop algorithms, test them, visualize the results, and pass the code along to others to create a functional code base for your firm.
Book Synopsis MATLAB for Behavioral Scientists by : David A. Rosenbaum
Download or read book MATLAB for Behavioral Scientists written by David A. Rosenbaum and published by Routledge. This book was released on 2014-07-17 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book’s program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound. Highlights of the new edition include: •Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions. •More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly. •A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research. •A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication. •Increased emphasis on pre-allocation of memory, recursion, handles, and matrix algebra operators. The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox. Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.
Download or read book Visualizing Data written by Ben Fry and published by "O'Reilly Media, Inc.". This book was released on 2008 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides information on the methods of visualizing data on the Web, along with example projects and code.
Book Synopsis MATLAB Machine Learning Recipes by : Michael Paluszek
Download or read book MATLAB Machine Learning Recipes written by Michael Paluszek and published by Apress. This book was released on 2019-01-31 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more. What you'll learn:How to write code for machine learning, adaptive control and estimation using MATLAB How these three areas complement each other How these three areas are needed for robust machine learning applications How to use MATLAB graphics and visualization tools for machine learning How to code real world examples in MATLAB for major applications of machine learning in big data Who is this book for: The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples on machine learning using MATLAB.
Book Synopsis Graphical Data Analysis with R by : Antony Unwin
Download or read book Graphical Data Analysis with R written by Antony Unwin and published by CRC Press. This book was released on 2015-03-25 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.
Book Synopsis Image Processing with ImageJ by : Jurjen Broeke
Download or read book Image Processing with ImageJ written by Jurjen Broeke and published by Packt Publishing Ltd. This book was released on 2015-11-30 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extract and analyze data from complex images with ImageJ, the world's leading image processing tool About This Book Design automated image-processing solutions and speed up image-processing tasks with ImageJ Create quality and intuitive interfaces for image processing by developing a basic framework for ImageJ plugins. Tackle even the most sophisticated datasets and complex images Who This Book Is For The book has been created for engineers, scientists, and developers eager to tackle image processing with one of the leading tools available. No prior knowledge of ImageJ is needed. Familiarity with Java programming will be required for readers to code their own routines using ImageJ. What You Will Learn Install and set up ImageJ for image processing. Process images using ImageJ's built-in tools Create macros to perform repetitive processing tasks Set up and use an integrated development environment for ImageJ plugins Create plugins with a user-friendly interface for processing Use established ImageJ plugins for processing and quantification Generate a simple interface based on a real world example and create other interfaces for other projects Speed up interface development by setting multiple parameters interactively In Detail Advances in image processing have been vital for the scientific and technological communities, making it possible to analyze images in greater detail than ever before. But as images become larger and more complex, advanced processing techniques are required. ImageJ is built for the modern challenges of image processing – it's one of the key tools in its development, letting you automate basic tasks so you can focus on sophisticated, in depth analysis. This book demonstrates how to put ImageJ into practice. It outlines its key features and demonstrates how to create your own image processing applications using macros and ImageJ plugins. Once you've got to grips with the basics of ImageJ, you'll then discover how to build a number of different image processing solutions. From simple tasks to advanced and automated image processing, you'll gain confidence with this innovative and powerful tool – however and whatever you are using it for. Style and approach A step-by-step guide to image processing and developing macros and plugins in ImageJ. The book will progress from using the built-in tools to macros and finally plugins for image processing.
Book Synopsis Practical WPF Charts and Graphics by : Jack Xu
Download or read book Practical WPF Charts and Graphics written by Jack Xu and published by Apress. This book was released on 2010-08-11 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creating 2D and 3D charts is one of the most common uses of computer graphics. Such charts can have wide applications in representing mathematical, physical, and economic functions in your daily life. Whether you are an engineer, a quantitative analyst, a teacher, or a student, you will end up dealing with charting applications to some degree. Windows Presentation Foundation (WPF) is a next-generation graphics platform that enables you to build advanced user interfaces incorporating documents, media, 2D and 3D graphics, and animations. It is an ideal development tool that allows you to not only generate data, but also easily represent data graphically. Practical WPF Charts and Graphics provides all the tools you will need to develop professional chart and graphics applications in WPF and C#. This book will be useful for WPF and C# programmers of all skill levels, providing a complete and comprehensive explanation of WPF's graphics capability and the creation of various charts, and paying special attention to the details of code implementation.
Book Synopsis Python Data Science Handbook by : Jake VanderPlas
Download or read book Python Data Science Handbook written by Jake VanderPlas and published by "O'Reilly Media, Inc.". This book was released on 2016-11-21 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Book Synopsis Numerical Analysis and Graphic Visualization with MATLAB by : Shoichiro Nakamura
Download or read book Numerical Analysis and Graphic Visualization with MATLAB written by Shoichiro Nakamura and published by Prentice Hall. This book was released on 2002 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the power of MATLAB 6 in all your technical computation and measurement applications Now, there is a complete introduction to numerical methods and visualization with the latest, most powerful version of MATLAB, Version 6.0. Dr. Shoichiro Nakamura introduces the skills and knowledge needed to solve numerical equations with MATLAB, understand the computational results, and present them graphically. This book brings together all four cornerstones of numerical analysis with MATLAB: the fundamental techniques of MATLAB programming; the mathematical basis of numerical methods; the application of numerical analysis to engineering, scientific, and mathematical problems; and the creation of scientific graphics. Coverage includes: Complete introductory tutorials for both MATLAB 6.0 programming and professional-quality 3D graphics Linear algebra applications: matrices, vectors, Gauss elimination, Gauss-Jordan elimination, LU decomposition, and more Polynomials and interpolation, including interpolation with Chebyshev points; cubic hermite, 2D and transfinite interpolation; and M-files Numerical integration, differentiation, and roots of nonlinear equations Advanced techniques, including curve fitting, spline functions, and boundary value problems Whether you are a student, engineer, scientist, researcher, or economic analyst, MATLAB 6 offers you unprecedented power for defining and solving problems. Put that power to work -- with Numerical Analysis and Graphical Visualization with MATLAB, second edition.
Book Synopsis IPython Interactive Computing and Visualization Cookbook by : Cyrille Rossant
Download or read book IPython Interactive Computing and Visualization Cookbook written by Cyrille Rossant and published by Packt Publishing Ltd. This book was released on 2014-09-25 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
