Matlab course
Dinesh Post in Programming

MATLAB helps you take your ideas beyond the desktop. You can run your analyses on larger data sets, and scale up to clusters and clouds. MATLAB code can be integrated with other languages, enabling you to deploy algorithms and applications within web, enterprise, and production systems.

I-Tech System cover Matlab course with fundamentals and programming. We conduct workshop for Matlab course in colleges and other organization as per requirement. The objective of course to get familiar with Matlab, understand Matlab Basic operations, Solving Mathematical Problems, Advance Graph Plot, Input/Output functions, Function Creation, Matlab Loop Program  and Matlab Control Statement. There are also advanced modlues available after completion of Fundamental Module.

MATLAB Course Contents

Fundamentals of MATLAB

  • Understanding command and workspace window
  • Statistical functions
  • Programming concepts
    1. If Else condition
    2. Switch statement
    3. For loop
    4. While loop
    5. M-Scripts
    6. MATLAB Function
    7. Solving Mathematical Problem
  • 2D and 3D plots in Line graphs
  • Advance Graph Plot
  • Input / Output Function
  • MATLAB Function Creation
  • Graphical User Interface (GUI) Designing

Simulink

  • Introduction to Simulink Interface
  • How to create first Simulink model
  • Model annotation & signal labelling
  • Export Simulink data into MATLAB workspace
  • How to export Simulink graph data into MATLAB & excel
  • How to access structure data as an array
  • Trigonometric function implementation in Simulink
  • The ports and subsystems library
  • The signal routing library
  • Amplitude modulation & FFT implementation
  • Analog low pass filter design
  • Digital FIR low pass filter design

StateFlow chart

  • Basic approach to build a State flow model
  • Control flow logic
  • Implementing state actions
  • Implementing state actions
  • Calling functions from State flow
  • State decomposition
  • Super step semantics
  • Export chart level functions
  • Mealy and Moore machines

Image Processing

  • Introduction
  • Black while index images
  • Image- convert, resize & point
  • Point operations log
  • Gaussian Weiner convolution
  • Homomorphic filtering

Digital Image Processing

  • Introduction
  • Basic Operations
  • MATLAB for Image processing
  • Intensity transformation & spatial filtering
  • Histogram processing
  • Spatial filters
  • Fourier transform
  • Fourier properties laplacian convolution correlation
  • Frequency domain filter
  • Image restoration & reconstruction
  • Morphological Processing
  • Image Segmentation &Thresholding
  • Edge Linking & Boundary detection