MATLAB

1
MATLAB

• Presented By
• Nathalie Tacconi

Originally Prepared By Sheridan Saint-Michel
2
What Is MATLAB?

• The name MATLAB is an abbreviation for MATrix
  LABoratory
• MATLAB is an interactive, matrix-based system
  for algorithm development, GUI Design, data
  analysis, data visualization, and numeric
  computation.

3
What Is MATLAB?

• A way to solve complex numerical problems without
  actually writing a program
• Built-in tools
• No program structuring
• MATLAB focuses on ease of use and quick
  development

4
Why Use MATLAB?

• Used mainly for algorithm development and data
  visualization
• Algorithms can be implemented and tested more
  quickly and easily than with traditional
  programming languages
• Quickly get numerical and graphic answers to
  matrix and vector related math problems

5
Why Use MATLAB?

• MATLAB is used for a wide range of applications
  including
• Signal and Image Processing
• Communications
• Control Design
• Testing and Analysis
• Financial Modelling
• Computational Biology

6
Available Environments

• MATLAB is available in a number of environments
  including
• PCs
• Apple - Macintosh
• Sun Workstations
• VAX
• MicroVAX

7
The Basics

• MATLAB contains elaborate development tools to
  ease and speed development
• MATLAB uses its own unique high-level language
• Using MATLABs tools lets you write and test
  using much fewer lines of code than C or C.

8
The Basics

• Starting Screen

9
Development Tools

• MATLAB editor - provides standard editing and
  debugging features, such as breakpoints and
  stepping through.
• MATLAB profiler - records the time spent
  executing each line of code.
• M-lint code checker - analyses your code and
  tells you where any problems are in addition to
  what changes can be made to make your program run
  faster.

10
Development Tools

• MATLAB editor

11
Development Tools

• MATLAB profiler

12
Development Tools

• M-Lint Code Checker

13
Common Uses

• Developing Algorithms
• Data Analysis
• Data Visualization
• Designing Graphical User Interfaces (GUI)
• Numeric Computation

14
Developing Algorithms

• The use of MATLABs own high-level language and
  development tools allow you to develop and
  analyze algorithms faster and easier.
• Using MATLABs tools lets you write and test
  algorithms using much fewer lines of code than C
  or C.
• MATLAB allows you to use traditional programming
  features, such as arithmetic operations, flow
  control, data structures, and object-oriented
  programming if desired.

15
Data Analysis

• MATLAB provides interactive tools and
  command-line functions for data analysis
  operations including
• Interpolating and decimating
• Extracting sections of data, scaling, and
  averaging
• Thresholding and smoothing
• Correlation, Fourier analysis, and filtering
• 1-D peak, valley, and zero finding
• Basic statistics and curve fitting
• Matrix analysis

16
Data Analysis

• Curve fitting

17
Data Analysis

• MATLAB provides functions to input data easily
  from various sources.
• MATLAB can read data from sources including
• Excel spreadsheets
• Text files
• Standard image, sound, and video files
• Web pages
• A computers serial port or sound card

18
Data Visualization

• With MATLAB you can graph/draw complicated
  structures easily.
• Extremely useful for visual representations of
  mathematical formulas.
• Several powerful tools exist for
• 2-D and 3-D plotting
• 3-D volume representation
• Interactive graphing
• Importing and exporting to standard graphic types

19
Data Visualization

• 2-D plotting

20
Data Visualization

• 3-D plotting and volume visualization

21
Data Visualization

• Creating and editing plots interactively

22
Designing GUIs

• MATLAB provides a tool called a GUIDE (Graphical
  User Interface Development Environment) which
  lets you quickly design, layout, and edit user
  interfaces.

23
Designing GUIs

• GUIDE

24
Numeric Computation

• MATLAB has built in functions to handle the
  following types of math problems
• Matrix manipulation and linear algebra
• Polynomials and interpolation
• Fourier analysis and filtering
• Data analysis and statistics
• Optimization and numerical integration
• Ordinary differential equations (odes)
• Partial differential equations (PDEs)
• Sparse matrix operations

25
Numeric Computation

• MATLAB provides the ability to add toolboxes -
  extensions which add additional functionality.
• There are many toolboxes made by professional
  engineers and mathematicians ready for
  downloading.

26
Numeric Computation

• Toolboxes have been created dealing with CSE
  topics
• Working with linked lists, stacks, and queues
  (CSE 1320)
• Binary trees and red-black trees (CSE 2320)
• Physics Problems (both physical and
  electromagnetic)
• Circuit analysis

27
Summary

• MATLAB is easy to learn and easy to use.
• Modelling, developing, and testing is faster and
  easier using MATLAB than regular traditional
  tools.
• GUIs, 2-D data representations, and 3-D data
  representations are easy to create.
• Toolboxes can extend MATLABs functionality to
  tackle almost any problem.

28
Questions References
?

• References
• http//www.mathworks.com/products/matlab
• http//www.mathtools.net/MATLAB/index.html