Working with the MATLAB® User Interface

Variables and Commands

Analysis and Visualization with Vectors

Analysis and Visualization with Matrices

Automating Commands with Scripts

Working with Data Files

Tables of Data

Text and Dates

Conditional Data Selections

Multiple Vector Plots

Flow Control

Enter MATLAB commands. Create, access, and modify vectors and matrices. Perform calculations with vector and matrix data.

Create visualizations of vector and matrix data.

Import data from a file.

Write and debug scripts and functions.

Data Analysis

Writing Functions

Troubleshooting Code and Improving Performance Programming with Functions

Importing Data

Organizing Data

Making Customized Visualizations

Automating the Analysis Process

Creating Images, Surfaces, and Animations

Create scripts to automatically process multiple files in a directory.

Graphics Objects

Components of an Interface

Programming Considerations for Interactive Applications

Creating Interfaces Using GUIDE

Programming Applications Using the GUIDE Template

Deploying Applications

Write MATLAB code to create and place graphical control objects on a MATLAB figure.

Write MATLAB code to create and attach callbacks to uicontrol objects.

Graphically design an interface layout using the GUIDE environment.

Write callback functions for callbacks generated by the GUIDE environment.

Signals in the MATLAB Environment

Spectral Analysis

Linear Time-Invariant Systems

Filter Design

The Signal Analysis App

Multirate Filters

Adaptive Filter Design

Visualize signals in multiple ways.

Use appropriate spectral analysis techniques for signals of interest.

Analyze LTI systems for frequency and impulse response.

Design and implement digital filters from a given specification.

Use MathWorks apps to analyze signals and design filters.

Design multirate filters.

Design adaptive filters.

Importing and Visualizing Image

Interactive Exploration of Images Preprocess

Spatial Transformation and Image Registration

Edge and Line Detection

Color and Texture Segmentation

Feature Extraction

Export processed images and videos to common file types.

Interactively preprocess an image to explore and understand image details.

Preprocess images by changing the contrast and brightness, resizing, rotating, and filtering.

Visualize an image to highlight objects using properties such as color, intensity, texture, and shape.

Transform one image to align with another through image registration.

Extract object properties and classify objects according to metrics such as color, intensity, texture, and shape.

Artificial Neural network

Learning Algorithms

Implementing some examples

Use the ANN toolbox to implement the models