GNU Octave by Example : A Fast and Practical Approach to Learning GNU Octave

Get a quick start to learn, understand, and apply GNU Octave using a math- and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave. __GNU Octave by Example__ starts with an introduction to GNU Octave, a free and open-source alternative to MATLAB. Next, it explains the processes to install GNU Octave on popular operating systems such as Windows, Ubuntu, Raspberry Pi, and other platforms. Further, it covers hands-on exercises with GNU Octave exploring the basic functionality and command line in interactive mode. This is followed by covering matrices and various operations including how to read and analyze data from various sources. Moving forward, it introduces commonly used programming constructs in data visualization. It explains 2D and 3D data visualization along with data analysis. It also demonstrates the concepts related to geometry and its application with GNU Octave. It concludes with coverage of signal processing followed by image, video, and audio processing techniques. After reading this book, you will be able to write your own programs for scientific and numerical applications. **What You Will Learn** ● Understand the practical aspects of GNU Octave with math and programming-friendly abstractions ● Install GNU Octave on multiple platforms including Windows, Raspberry Pi, and Ubuntu ● Work with GNU Octave using the GUI, the command line, and Jupyter notebooks ● Implement 2D and 3D data visualization and analysis with GNU Octave **Who This Book Is For** Software engineers, data engineers, data science enthusiasts, and computer vision professionals. Table of Contents About the Authors About the Technical Reviewer Acknowledgments Introduction Chapter 1: Introduction to GNU Octave The GNU Octave Project History of the GNU Octave Project Applications of Octave Limitations and Drawbacks of Octave Comparison of Octave with Alternatives The Online Octave Community Installing GNU Octave Installing on Windows Installation on Ubuntu Linux Installation on Raspberry Pi with Raspbian OS Exploring GNU Octave Octave GUI Octave CLI Octave Programming with Jupyter Notebook Octave Code and Richtext in Notebook Summary Chapter 2: Getting Started with GNU Octave and Jupyter Simple Mathematical Operations Built-in Mathematical Constants Getting Help Variables in GNU Octave Global Variables Conventions for Naming Variables Clearing the Command Prompt Summary Chapter 3: Data Types and Variables in Detail Data Types in GNU Octave Arrays, Vectors, and Matrices Indexing in Arrays Operations on Arrays Array Creation Routines Matrix Manipulation Function Summary Chapter 4: Loops, Functions, and Files Decision Making with If Statements Loops in GNU Octave User-Defined Functions Global Variables Working with Files Summary Chapter 5: Data Visualization Simple Plots Plotting Options Errorbars More Visualizations Scatter Graphs Histograms Contours Polar Graph Pie Charts Visualizing Data as Images 3D Visualizations Summary Chapter 6: Data Analysis Simple Statistics Histogram Interpolation 1-D Interpolation 2-D Interpolation Polynomial Fitting Summary Chapter 7: Signal Processing Signals Continuous and Discrete Signals Analog and Digital Signals Even and Odd Signals Periodic and Non-Periodic Signals Fourier Transform Summary Chapter 8: Audio Processing Reading an Audio File Creating Your Own Audio File Plotting the Sound Wave Signal Summary Chapter 9: Image and Video Processing Image Processing Loading, Displaying, and Resizing Images Color Space Cropping, Rotating, and Saving Images FFT2 Video Processing Summary Appendix Structures Cell Arrays Operations for Structures and Cell Arrays Polynomials in Octave Convex Hull Index Get a quick start to learn, understand, and implement GNU Octave in a math and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave. GNU Octave by Example starts with an introduction to GNU Octave, a free and open-source alternative to MATLAB. Next, it explains the processes to install GNU Octave on popular operating systems such as Windows, Ubuntu, Raspberry Pi, and other platforms. Further, it covers hands-on exercises with GNU Octave exploring the basic functionality and command line in interactive mode. This is followed by covering matrices and various operations including how to read and analyze data from various sources. Moving forward, it introduces commonly used programming constructs in data visualization. It explains 2D and 3D data visualization along with data analysis. It also demonstrates the concepts related to geometry and its application with GNU Octave. It concludes with coverage of signal processing followed by image, video, and audio processing techniques. After reading this book, you will be able to write your own programs for scientific and numerical applications. You will: ● Understand the practical aspects of GNU Octave with math and programming-friendly abstractions ● Install GNU Octave on multiple platforms including Windows, Raspberry Pi, and Ubuntu ● Work with GNU Octave using the GUI, the command line, and Jupyter notebooks ● Implement 2D and 3D data visualization and analysis with GNU Octave https://www.apress.com/gp/book/9781484260852 Get a quick start to learn, understand, and apply GNU Octave using a math- and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave. GNU Octave by Example starts with an introduction to GNU Octave, a free and open-source alternative to MATLAB. Next, it explains the processes to install GNU Octave on popular operating systems such as Windows, Ubuntu, Raspberry Pi, and other platforms. Further, it covers hands-on exercises with GNU Octave exploring the basic functionality and command line in interactive mode. This is followed by covering matrices and various operations including how to read and analyze data from various sources. Moving forward, it introduces commonly used programming constructs in data visualization. It explains 2D and 3D data visualization along with data analysis. It also demonstrates the concepts related to geometry and its application with GNU Octave. It concludes with coverage of signal processing followed by image, video, and audio processing techniques. After reading this book, you will be able to write your own programs for scientific and numerical applications.