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MATLAB

MATLAB Training in Dehradun & Best MATLAB Training Institute in Dehradun

Insergo tecnologies Dehradun offers an inclusive MATLAB training in Dehradun. The extensive practical training provided by MATLAB institute in Dehradun equips live projects and simulations. Such detailed Big Data course has helped our students secure job in various MNCs. The trainers at Insergo tecnologies Dehradun are subject specialist corporate professionals providing in-depth study in MATLAB course in Dehradun. Participants completing the Big Data certification have plethora of job opportunities in the industry.

Insergo Project based 6 Months Industrial Training in MATLAB Covers the Following Modules

Industrial Training in MATLAB is a modular 6 months course, regularized over 5 days a week, 2 hrs a day, and exclusively includes practical sessions. The course curriculum of Industrial Training in Java comprises:

  • Introduction to MATLAB
  • Historical Background
  • Applications
  • Scope of MATLAB
  • Importance to Engineers
  • Features
  • MATLAB Windows (Editor, Work space, Command history, Command Window)
  • Operations with variables
  • Naming and Checking Existence
  • Clearing Operations

Module 02: 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

Module 03: Editing and debugging M Files

  • Writing script files
  • writing functions
  • Error Correction
  • M-Lint Automatic Code Analyzer
  • Saving files

Module 04: Programming

  • Flow control
  • Conditional Statements
  • Error Handling
  • Work with multidimensional array
  • Cell Array & Characters
  • Developing user defined function
  • Scripts and other Functions
  • Basic Technical Level Computing with MATLAB

Module 05: MATLAB Graphics

  • Simple graphics
  • Graphic Types
  • Plotting functions
  • Creating plot &Editing plot (2D and 3D)
  • Graphics Handles
  • GUI (Graphical User Interface)

Module 06: Simulink

  • Introduction
  • Importance
  • Model Based Design
  • Tools
  • Mathematical Modeling
  • Converting Mathematical Model into Simulink Model
  • Running Simulink Models
  • Importing Exporting Data
  • Solver Configuration
  • Masking Block/Model
  • Basic Technical Level Computing with MATLAB

Module 07: 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

Module 08: Project on Control & Simulink

Signal Processing Toolbox

  • Basics of Signal Processing
  • Representing Signals
  • Analysis of different Signals
  • Complex Signals
  • Filter Designing
  • Using the Filter Designing GUIs
  • Analyzing the filter plots
  • Filter Designing using Script Files
  • Speech Recording
  • Speech Processing
  • Other Signal Processing Functions

Module 09: Communication Toolbox

  • Signal Sources
  • BER Tool
  • Modulation
  • Special Filter
  • Channels
  • Equalizers

Module 10: Project Based on Signal & communication

Module 11: Image Processing Toolbox

  • Reading and Writing Image Data
  • Displaying and Exploring Image
  • Spatial Transformation
  • Image Registration
  • Designing and implementing 2D linear Filters for Image Data
  • Morphological Operations
  • Transforms
  • Analyzing and Enhancing Images
  • ROI based Processing
  • Neighborhood and Block operations

Module 12: Computer Vision Systems Toolbox

  • Input, Output, and Conversions
  • Display and Graphics
  • Registration and Stereo Vision
  • Motion Estimation and Tracking
  • Geometric Transformations
  • Filters, Transforms, and Enhancements

Module 13: Project Based on Image & Computer Vision

Module 14: Fuzzy Logic Toolbox

  • Basic introduction to fuzzy logic
  • Fuzzy Versus Non-fuzzy Logic
  • Foundations of Fuzzy Logic
  • Fuzzy Inference Systems
  • Building Systems with Fuzzy Logic Toolbox Software
  • Building Fuzzy Inference Systems Using Custom Functions
  • Working from the Command Line
  • Working in Simulink Environment
  • Simulating Fuzzy Inference Systems Using the Fuzzy Inference Engine

Module 14: Neural Network Toolbox

  • Network Objects, Data, and Training Styles
  • Multilayer Networks and Backpropagation Training
  • Control Systems
  • Radial Basis Networks
  • Self-Organizing and Learning
  • Vector Quantization Nets
  • Adaptive Filters and Adaptive Training

Module 15: Stateflow in Simulink

  • Stateflow Chart Concepts
  • Stateflow Chart Notation
  • Stateflow Chart Semantics
  • Building Mealy and Moore Charts
  • Using Actions in Stateflow Charts
  • Stateflow Design Patterns
  • Truth Table Functions for Decision-Making Logic
  • Using Simulink Functions in Stateflow Charts
  • Debugging and Testing Stateflow Charts
  • Exploring and Modifying Charts
  • Semantic Rules Summary
  • Semantic Examples

Module 16: Analysis of C MEX files

  • C/C++ Source MEX-Files
  • Examples of C/C++ Source MEX-Files
  • Debugging C/C++ Language MEX-Files
  • Handling Large mxArrays
  • Memory Management
  • Large File I/O

Module 17: Introduction to Embedded System for MATLAB

  • Basic components of Embedded System
  • Hardware Classification of Embedded System
  • Programming Language Classification of Embedded System
  • Advantage & Disadvantage of Low level & High level Programming Languages.
  • Type of Microcontroller
  • Memory Classification

Module 18: Embedded System Development Tools

  • Assembler
  • Interpreter
  • Compiler
  • Simulator
  • Emulator
  • Debugger

Module 19: AVR Architecture & Instructions

  • Classification of Von-Neumann and Harvard Architecture
  • Difference between RISC and CISC
  • Memory Classification (Primary & Secondary)
  • Data Transfer Instructions
  • Arithmetic Instructions
  • Logical Instructions
  • Conditional Instructions

Module 20: I/O Port Programming

  • Led Interfacing
  • 7 Segment Display Types
  • 7 Segment Interfacing

Module 21: Motors Interfacing & Sensors

  • Introduction to Motors
  • DC Motor Interfacing
  • Stepper Motor Interfacing
  • Introduction to Sensing Devices
  • Different Type of Sensors

Module 22: Introduction to MATLAB Arduino Tool

  • Introduction to Arduino Boards and Shields
  • Arduino IDE Introduction
  • Programming in Arduino
  • Arduino Interfacing With MATLAB

Module 23: Peripheral Interfacing with MATLAB Arduino

  • Led Interfacing
  • 7 Segment Interfacing
  • DC motor Interfacing
  • Stepper motor Interfacing

Module 24: Introduction to Simulink Arduino Tool Library

  • Arduino Interfacing With Simulink
  • Standalone Application Development Using Simulink

Module 25: Projects on Interfacing between Arduino, MATLAB and Simulink

Introduction to VLSI

  • Need, Scope, Use and History of VLSI.
  • Introduction to Chip Design Process.
  • Description of Hardware Description Languages.
  • Applications of VLSI
  • Top Down Design Methodology
  • Bottom Up Design Methodology

Module 26: VLSI Design Flow and HDLs

  • Design Process and Steps.
  • Design Simulation and Design Synthesis.
  • Introduction to VHDL
  • Introduction to Verilog HDL
  • Difference between Verilog HDL & other Programming HDL’s

Module 27: Tools Used for HDL’s

  • Different Tools Available in Industry
  • Working on Xilinx Project Navigator
  • Working on Simulator

Module 28: Introduction to Various HDL Modeling Style

  • Gate Level Modeling Style
  • Data Flow Modeling Style
  • Behavioral Modeling Style
  • Switch Level Modeling Style

Module 30: Keywords & Data Types in Verilog HDL

  • Module
  • Initials
  • Always
  • Data Types

Module 31: Hardware Implementation using HDL’s

  • FPGA
  • CPLD
  • RTL

Module 32: HDL’s – MATLAB Interfacing

  • MATLAB HDL Coder
  • Code Generation using HDL coder in MATLAB
  • Learning MATLAB TOOL related programming
  • Fixed point conversions
  • HDL code generations

Module 33: Hardware Implementation on FPGA using MATLAB

  • Synthesize Code from MATLAB to Verilog HDL
  • Learning MATLAB HDL Verifier
  • Learning ModelSim using MATLAB
  • Using MATLAB HDL Verifier to operate FPGA in Loop.
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