Tech Booster is the No-1 MATLAB training Institute in Guwahati,Assam
MATLAB or (Matrix Laboratory) is a high performance programming language which is used for technical computing. MATLAB training gives complete exposure on the noteworthy features of modeling and simulation required to develop applications for embedded systems. It is used for integrating computation, visualization and programming so that the programming environment becomes easy to use. The most important feature of MATLAB is that it is used for calculating matrix and vector formulations in fraction of time. Using MATLAB, trainees will learn about matrix manipulation, plotting of command and images, create graphical user interface (GUI), provide external interface through serial port. Simulink, a data flow graphical programming language tool, is also covered in the training curriculum. This course is designed to give undergraduate students all the fundamentals in 2-D digital image processing with emphasis in Image Processing Techniques, Image Filtering Design and to provide a basic introduction to the theory of digital signal processing (DSP) and Digital Communication.
Career Scope:
The applications of MATLAB are immense. It is a powerful linear algebra tool with a very good collection of toolboxes. A lot of companies ranging from banking, finance, engineering, scientific and education requires the application of MATLAB and they are on a lookout for MATLAB professionals to increase their productivity.
The MATLAB professionals are getting more pay packages as compared to the IT professionals, this is because MATLAB helps to solve technical problem in much less time as compared to other languages such as C/C++/Java.
Course Module:
Introduction to MATLAB
- Historical Background
- Applications
- Importance to Engineers
- Features
- MATLAB Windows (Editor, Work space, Command history, Command Window)
- Operations with variables Naming and Checking Existence
- Clearing Operations
Data and Data flow in MATLAB
- Matrix Operations & Operators
- Reshaping Matrices
- Importing Exporting Of Data
- Arrays
- Data types
- File Input-Output
- Communication with external devices
Editing and debugging M-files
- Writing script files
- writing functions
- Error Correction
- M-Lint Automatic Code Analyzer
- Saving files
Programming
- Flow control
- Conditional Statements
- Error Handling
- Work with multidimensional array
- Cell Array & Characters
- Developing user defined function
- Scripts and other Functions
- Plotting functions
- Creating plot &Editing plot (2D and 3D)
- Graphics Handles
- GUI (Graphical User Interface)
Simulink
- Introduction
- Importance
- Model Based Design
- Tools
- Mathematical Modeling
- Converting Mathematical Model into Simulink Model
- Running Simulink Models
- Importing Exporting Data
- Masking Block/Model
- Basic Technical Level Computing with MATLAB
Digital Image Processing
- Digital-Image-Representation
- Image-Analysis
- Image-Preprocessing
- Image-Enhancement
- Image-Restoration
- Image-Compression
- Image-Segmentation
Digital Signal Processing
- Introduction to discrete linear systems
- Discrete-Time Fourier Transform and Linear Time Invariant Systems
- The Z transform
- Properties of digital filters
- Fourier transforms, sampling
- The discrete Fourier transform
- The fast Fourier transform
- Digital filter design
- 1 Finite impulse response (FIR) filters
- 2 Infinite impulse response (IIR) filters
- Adaptive signal processing
Digital Communication
- Random signal production
- Source coding
- Scalar quantization
- Different modulation techniques
- Error control coding
- Convolution coding
- Linear block coding
- Analog modulation and demodulation
- AM, FM ,PM , SSB-AM
- Digital modulation
- Differential PSK
- FSK
- Quadrature AM
- Quadrature PSK
- Binary PSK
- Pulse amplitude modulation
- Minimum shift keying
- Channel models
- Rayleigh
- Rician
- Types of noise
- AWGN
- Random noise
- Spatial modulation
- Spatial multiplexing
- Space time block coding
- Bit error performance analysis
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