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MATLAB

Matrix Laboratories popularly known as MATLAB is a fourth generation high level programming language. It is a registered product of a company called MathWorks. It allows engineers to perform various type of computational processes such as matrix manipulations, plotting of mathematical functions, algorithm implementation and interfacing of user defined programs to the programs written in different computer languages such as JAVA, C, Python etc.

Key Features
• MATLAB is a high level programming language that helps us with simulations, mathematical computing and development of applications.
• MATLAB has a user friendly environment which supports cyclic explorations and enhances the problem solving techniques.
• MATLAB allows us to implement complex mathematical functions that are related to signal processing and linear algebra.
• MATLAB has built in tools to realize custom plots for different types of data.
• MATLAB supports multiple tool boxes that reduce the complexity of work.

Industrial Applications of MATLAB®
Such enormous features and capabilities of this software has made its way to be incorporated in industries too. Some of the most common industries which use this software are discussed.
1. Electrical Engineering: It is used extensively in electrical engineering for signal-processing applications.
2. Biomedical Engineering: The Image Processing Toolbox also includes a wide range of functions, many of them especially appropriate for medical imaging.
3. Fluid Dynamics: Calculations involving fluid velocities are important in various fields such as aerospace engineering. Visualizing the three-dimensional behavior of fluids is tricky, but MATLAB® offers a number of tools that make it easier.
Use of MATLAB® is not limited to these industries but is much wide spread. It is used for various applications like signal processing, image processing, mathematical modeling, automation and control, statistical analysis of raw data, optimization, mathematical computations like ODE solving, aerospace engineering, and so on.

MATLAB® Training Opportunities
In recent years, the number of users of MATLAB® in India has increased exponentially. Now, MATLAB® is used in almost all institutions associated with scientific and mathematical learning and research. Keeping in view its extensive features, applications and ease of use, it has also been integrated into various courses.
Nowadays, a heightened craze for learning and utilizing this software is seen among science and engineering students.

* Note:The Number of Project will be Covered According to the Duration of that particular Program.
All training modules are based on REAL TIME LIVE PROJECTS.

Fees:
Course Duration (15 Days)- Rs. 3,500/- per participant including of all taxes.
Course Duration (30 Days)- Rs. 5,000/- per participant including of all taxes.



 Major Topics to be Covered:
  • Implementation KCL , KVL ,LOOP, MESH (circuit analysis).
  • Implementation Thevenin ; Norton, Superposition and Maximum Power Theorem
  • R-L,R-C,R-L-C Circuit Response.
  • Developing Signals (Unit step, Delta ,Ramp ,square ,rectangular etc).
  • Creating various type of function (graphical).
  • Developing various type of equations and series.
  • Solving linear equations.Solving homogeneous and non homogeneous equation.
  • Image conversion
  • Image matching.
  • Image blurring.
  • Image transformation.
  • Image croping.
  • Serial communication programming.
  • Parallel PORT Programming.
  • Interfacing Microcontroller using matlab.
  • Robot controlling using matlab(gui)
  • GUI building.
  • Interfacing or controlling robot using GUI .
  • Ball tracking
  • Motion detection.
  • Edge detection
  •  
Course Content:

Introduction
About MATLAB.
MATLAB Screen
Variable , array , Matrix , Indexing
Operators (Arithmetic, relational, Logical ).
Display Facilities
Flow Control (IF, Switch ,For ,While ,Break) .
Command line
M-File
Mat-file.
Scripts and Functions.
Data storage.
Input/output capability.

Working On MATLAB Environment
How to open, quit and work on command window.
Introduction of MATLAB Screen.
Command Window.
Current Directory.
Workspace.
Command history.
Introduction of useful command.

Matrix Operation
Array Creating
M*N Matrix Creating
Matrix Addition.
Working on Matrix Element.
Matrix Subtraction
Product.
Transpose.
Element-by-Element multiplication, division and power.

Basic Circuit Simulation Using MATLAB
Introduction of MATLAB
Elementary Electrical Circuit Analysis.
Elementary Electrical Circuit Modelling.
KVL Implementation using MATLAB.
KCL Implementation using MATLAB.
Finding equivalent Parallel and serial Combination of Register and Capacitor.
Loop and Mesh Implementation.
Thevenin Theorem Implementation.
Norton Theorem Implementation.
Superposition Theorem Implementation.
Maximum Power Theorem Implementation.
R-L Circuit Response.
R-C Circuit Response.
R-L-C Circuit Response.

Visualization and Graphics
Plot 1D function.
Open a new figure.
Create and Change axes.
Add title to figure.
View surface.
Locate several plots in figure.
2D and 3D plotting.
Surface and Mesh Graph.
Annotating figure.
Multiple plot.

Developing Signals
To develop Elementary signal for Impulse function.
To develop Elementary signal for unit Step function.
To develop Elementary signal for unit Ramp function.
To develop Exponential signal function.
Addition of two signal.

Image Processing
Image Processing Toolbox.
Images in MATLAB
Image Import and Export
Images and Matrices
Image Display
Image Conversion
Image Operations
Image acquisition in MATLAB
Image Manipulation
Threshold adjustment
Template matching
Shape Detection
Object Detection
Motion Detection
Functions for Image acquisition
Camera Adapter
Functions and Keywords for image processing in MATLAB
Hardware interfacing

Making graphical interface using Matlab
Introduction of GUI .
Introduction of serial communication.
Introduction of Parallel Port Programming.
Interfacing Microcontroller using matlab.
Controlling motion of robot.
Course Content:

Introduction
About MATLAB.
MATLAB Screen
Variable , array , Matrix , Indexing
Operators (Arithmetic, relational, Logical ).
Display Facilities
Flow Control (IF, Switch ,For ,While ,Break) .
Command line
M-File
Mat-file.
Scripts and Functions.
Data storage.
Input/output capability.

Working On MATLAB Environment
How to open, quit and work on command window.
Introduction of MATLAB Screen.
Command Window.
Current Directory.
Workspace.
Command history.
Introduction of useful command.

MATRIX OPERATION:
Array Creating
M*N Matrix Creating
Matrix Addition.
Working on Matrix Element.
Matrix Subtraction
Product.
Transpose.
Element-by-Element multiplication, division and power.

Analysis of Simple Circuits Using MATLAB
Elementary Electrical Circuit Analysis.
Elementary Electrical Circuit Modelling.
KVL Implementation using MATLAB.
KCL Implementation using MATLAB.
Finding equivalent Parallel and serial Combination of Register and Capacitor.
Loop and Mesh Implementation.
Thevenin Theorem Implementation.
Norton Theorem Implementation.
Superposition Theorem Implementation.
Maximum Power Theorem Implementation.
R-L Circuit Response.
R-C Circuit Response.
R-L-C Circuit Response.
TWO-PORT NETWORK REPRESENTATION
z-parameters
y-parameters
h-parameters
Transmission parameters

DIODE CHARACTERISTICS
Forward-biased region
MATLAB function polyfit
Temperature effects
ANALYSIS OF DIODE CIRCUITS
HALF-WAVE RECTIFIER
MATLAB function fzero
FULL-WAVE RECTIFICATION
ZENER DIODE VOLTAGE REGULATOR

Visualization and Graphics
Plot 1D function.
Open a new figure.
Create and Change axes.
Add title to figure.
View surface.
Locate several plots in figure.
2D and 3D plotting.
Surface and Mesh Graph.
Annotating figure.
Multiple plot.

Developing Signals
To develop Elementary signal for Impulse function.
To develop Elementary signal for unit Step function.
To develop Elementary signal for unit Ramp function.
TO develop Exponential signal function.
Addition of two signal.

Introduction to programming in MATLAB
Introduction
M-File Scripts
Script
M-File functions
Anatomy of a M-File function
Input and output arguments
Input to a script
Output commands

Control flow and operator
Introduction
Control flow
The ``if...end\'\' structure
Relational and logical operators
The ``for...end\'\' loop
The ``while...end\'\' loop
Other flow structures
Operator precedence

Control System Toolbox
General instructions
Create linear models
Classes of Control System Toolbox
Discussion on state space representation
Transfer function
System gain and dynamics
Time & Frequency domain analysis
Classical design, State Space Model
Transfer function representation, System response
LTI viewer detail and explanation about LTI viewer
Designing of compensator
Use of SISO design

Image Processing Toolbox
Images in MATLAB
Image Import and Export
Images and Matrices
Image Display
Image Conversion
Image Operations
Image acquisition in MATLAB
Image Manipulation
Threshold adjustment
Template matching
Shape Detection
Object Detection
Motion Detection

Making graphical interface using Matlab
Introduction of GUI .
Creating Own GUI
Interfacing Microcontroller using matlab.
Controlling motion of robot.

Simulink
Introduction to Simulink
Start using Simulink
Block Libraries..
Create a new Model
Modeling the Capacitor System
Modeling a Series RLC Circuit
mputer Vision System Toolbox
Introduction to computer vision
Applications of computer vision
Video processing with System objects
Face detection
Import from Video Files
Export to Video Files
Filters, Transforms, and Enhancements
Motion Estimation and Tracking

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