MATLAB

Matlab is the tool of choice for high-productivity research, development, and analysis features a family of application-specific solutions called toolboxes. Matlab allows you to solve many technical computing problems, especially those with matrix and vector formulations, in a fraction of the time it would take to write a program in a scalar non interactive language such as C or FORTRAN.

The name Matlab stands for matrix laboratory was originally written to provide easy access to matrix software developed by the LINPACK and EISPACK projects, which together represent the state-of-the-art in software for matrix computation.

Matlab has evolved over a period of years with input from many users. In university environments, it is the standard instructional tool for introductory and advanced courses in mathematics, engineering, and science.

Tech Booster is the best institute for Matlab course and under the proper guidance of our experts you too can excel in this course.

Course Curriculum:

• 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