1 / 27

# MATLAB Introduction - PowerPoint PPT Presentation

MATLAB Introduction. Trygve Eftestøl. Aim of the course. Get to know MATLAB What is MATLAB? Why use MATLAB? Basic training User interface Basic functions Visualisation Programming Analysis. Hva er MATLAB?. Why use MATLAB? Mathematcal computations Visualisation Analysis

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.

## PowerPoint Slideshow about 'MATLAB Introduction' - thu

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

### MATLAB Introduction

Trygve Eftestøl

• Get to know MATLAB

• What is MATLAB?

• Why use MATLAB?

• Basic training

• User interface

• Basic functions

• Visualisation

• Programming

• Analysis

• Why use MATLAB?

• Mathematcal computations

• Visualisation

• Analysis

• Used a lot for problem solving

• Cybernetics

• Signal processing

• Image processing

• Pattern recognition

• User interface

• Basic functions

• Visualisation

• Programming

• Analysis

• Command window

• Workspace

• Editor

• Help

• Command window

• Workspace

• Editor

• Help

• Contents

• Index

• Search

• Demo

• Create matrices

• Matrix operations

• Matrix functions

• Matrix indexing

• Logical operations

• Create matrices

• Scalar

• Vector

• Matrix

• Matrix operators

• Matrix functions

• Matrix indexing

• Logical operators

• 2D-plotting

• 3D-plotting

• 2D-plotting

• 3D-plotting

• 3D-plotting

• Function files

• Control structures

• if

• while

• for

• Function files

• Condition control using if

• Iterations using while

• Iterations using for

• Estimate pulse rate

• Plotting of signal

• Detection of peaks

• Problem – false detections

• Spectral analysis

• Filtering