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MATLAB Introduction

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

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MATLAB Introduction

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  1. MATLAB Introduction Trygve Eftestøl

  2. Aim of the course • Get to know MATLAB • What is MATLAB? • Why use MATLAB? • Basic training • User interface • Basic functions • Visualisation • Programming • Analysis

  3. Hva er MATLAB? • Why use MATLAB? • Mathematcal computations • Visualisation • Analysis • Used a lot for problem solving • Cybernetics • Signal processing • Image processing • Pattern recognition • …

  4. Basic training • User interface • Basic functions • Visualisation • Programming • Analysis

  5. User interface • Command window • Workspace • Editor • Help

  6. User interface • Command window

  7. User interface • Workspace

  8. User interface • Editor

  9. User interface • Help • Contents • Index • Search • Demo

  10. Basic functions • Create matrices • Matrix operations • Matrix functions • Matrix indexing • Logical operations

  11. Basic functions • Create matrices • Scalar • Vector • Matrix

  12. Basic functions • Matrix operators

  13. Basic functions • Matrix functions

  14. Basic functions • Matrix indexing

  15. Basic functions • Logical operators

  16. Visualisation • 2D-plotting • 3D-plotting

  17. Visualisation • 2D-plotting

  18. Visualisation • 3D-plotting

  19. Visualisation • 3D-plotting

  20. Programming • Function files • Control structures • if • while • for

  21. Programming • Function files

  22. Programming • Condition control using if

  23. Programming • Iterations using while

  24. Programming • Iterations using for

  25. Analysis • Estimate pulse rate • Reading from data file • Plotting of signal • Detection of peaks • Problem – false detections • Spectral analysis • Filtering

  26. Analysis • Reading from data file • Plotting of signal • Detection of peaks

  27. Analysis • Problem – false detections • Spectral analysis • Filtering

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