課程簡介
Part 1
A Brief Introduction to MATLAB
Objectives: Offer an overview of what MATLAB is, what it consists of, and what it can do for you
- An Example: C vs. MATLAB
- MATLAB Product Overview
- MATLAB Application Fields
- What MATLAB can do for you?
- The Course Outline
Working with the MATLAB User Interface
Objective: Get an introduction to the main features of the MATLAB integrated design environment and its user interfaces. Get an overview of course themes.
- MATALB Interface
- Reading data from file
- Saving and loading variables
- Plotting data
- Customizing plots
- Calculating statistics and best-fit line
- Exporting graphics for use in other applications
Variables and Expressions
Objective: Enter MATLAB commands, with an emphasis on creating and accessing data in variables.
- Entering commands
- Creating variables
- Getting help
- Accessing and modifying values in variables
- Creating character variables
Analysis and Visualization with Vectors
Objective: Perform mathematical and statistical calculations with vectors, and create basic visualizations. See how MATLAB syntax enables calculations on whole data sets with a single command.
- Calculations with vectors
- Plotting vectors
- Basic plot options
- Annotating plots
Analysis and Visualization with Matrices
Objective: Use matrices as mathematical objects or as collections of (vector) data. Understand the appropriate use of MATLAB syntax to distinguish between these applications.
- Size and dimensionality
- Calculations with matrices
- Statistics with matrix data
- Plotting multiple columns
- Reshaping and linear indexing
- Multidimensional arrays
Part 2
Automating Commands with Scripts
Objective: Collect MATLAB commands into scripts for ease of reproduction and experimentation. As the complexity of your tasks increases, entering long sequences of commands in the Command Window becomes impractical.
- A Modelling Example
- The Command History
- Creating script files
- Running scripts
- Comments and Code Cells
- Publishing scripts
Working with Data Files
Objective: Bring data into MATLAB from formatted files. Because imported data can be of a wide variety of types and formats, emphasis is given to working with cell arrays and date formats.
- Importing data
- Mixed data types
- Cell arrays
- Conversions amongst numerals, strings, and cells
- Exporting data
Multiple Vector Plots
Objective: Make more complex vector plots, such as multiple plots, and use color and string manipulation techniques to produce eye-catching visual representations of data.
- Graphics structure
- Multiple figures, axes, and plots
- Plotting equations
- Using color
- Customizing plots
Logic and Flow Control
Objective: Use logical operations, variables, and indexing techniques to create flexible code that can make decisions and adapt to different situations. Explore other programming constructs for repeating sections of code, and constructs that allow interaction with the user.
- Logical operations and variables
- Logical indexing
- Programming constructs
- Flow control
- Loops
Matrix and Image Visualization
Objective: Visualize images and matrix data in two or three dimensions. Explore the difference in displaying images and visualizing matrix data using images.
- Scattered Interpolation using vector and matrix data
- 3-D matrix visualization
- 2-D matrix visualization
- Indexed images and colormaps
- True color images
Part 3
Data Analysis
Objective: Perform typical data analysis tasks in MATLAB, including developing and fitting theoretical models to real-life data. This leads naturally to one of the most powerful features of MATLAB: solving linear systems of equations with a single command.
- Dealing with missing data
- Correlation
- Smoothing
- Spectral analysis and FFTs
- Solving linear systems of equations
Writing Functions
Objective: Increase automation by encapsulating modular tasks as user-defined functions. Understand how MATLAB resolves references to files and variables.
- Why functions?
- Creating functions
- Adding comments
- Calling subfunctions
- Workspaces
- Subfunctions
- Path and precedence
Data Types
Objective: Explore data types, focusing on the syntax for creating variables and accessing array elements, and discuss methods for converting among data types. Data types differ in the kind of data they may contain and the way the data is organized.
- MATLAB data types
- Integers
- Structures
- Converting types
File I/O
Objective: Explore the low-level data import and export functions in MATLAB that allow precise control over text and binary file I/O. These functions include textscan, which provides precise control of reading text files.
- Opening and closing files
- Reading and writing text files
- Reading and writing binary files
Note that the actual delivered might be subject to minor discrepancies from the outline above without prior notification.
Conclusion
Note that the actual delivered might be subject to minor discrepancies from the outline above without prior notification.
Objectives: Summarise what we have learnt
- A summary of the course
- Other upcoming courses on MATLAB
Note that the course might be subject to few minor discrepancies when being delivered without prior notifications.
最低要求
- Basic concept of undergraduate-level mathematical knowledge such as linear algebra, probablilty theory and statistics, as well as matrix
- Basic computer operations
- Preferably basic concept of another high-level programming language, such as C, PASCAL, FORTRAN, or BASIC, but not essential
客戶評論 (2)
從頭開始動手構建代碼。
Igor - Draka Comteq Fibre B.V.
Course - Introduction to Image Processing using Matlab
機器翻譯
Trainer took the initiative to cover additional content outside our course materials to improve our learning.