Live Project Based MATLAB 6 months training in Noida

Best .Net training in noida 4.9 out of 5 based on 7588 ratings.

KVCH India program builds a powerful training tool that can be implemented in classrooms as well as in the industry. We offer wide range of programs for Live Project 6 Months MATLAB Training in Noida under the guidance of the best industrial experts. We are continuously awarded for the past 10 years as the Best 6 months MATLAB training Institute in Noida.

Six Months MATLAB Training in Noida includes from basic to advance level modules designed for both students and working professionals.

Globalization has brought up with new opportunities in the market creating a pool of jobs for the graduate students. In order to hold up with the everyday growing demand the universities holds the responsibilities to produce students with excellent skills and experience.

6 Months Based MATLAB Training Course in Noida is very essential to make student who is pursuing MCA, B.Tech, BCA, BBA, MBA course and they should be aware of the real working environment in industries and to prepare them to handle any kind of obstacles that occur. It is a roadway that allows students to apply their theoretical knowledge practically and opens door to new opportunities. At KVCH, we assure that the performance of each student is up to the standards of the IT industry.

At KVCH once the student opts for 6 months MATLAB Training they get to experience the real working environment of the IT industry. Our team of expert senior trainers work together to ensure the development of set of skills for each individual. Our experts with hands-on experience on the technology and working experience makes sure to deliver the best to the students while working on LIVE project.

KVCH is the renowned 6 months MATLAB Training Center in Noida providing world class education to students.

Benefits


Accredited Curriculum


Learn from the Experts


Professional Certificate


Guranteed Career Growth


Placement Assistance


Earn a Valuable Certificate

Course Description

Industrial Training in MATLAB is a modular 6 months course. The course curriculum of Industrial Training in MATLAB comprises of

      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

      • 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
    • Basic Technical Level Computing with MATLAB

      • MATLAB Graphics

    • Simple graphics Graphic Types 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 Solver Configuration Masking Block/Model
    • Basic Technical Level Computing with MATLAB

      • 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

      • 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

      • Communication Toolbox

    • Signal Sources BER Tool Modulation Special Filter Channels Equalizers
    • 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

      • 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 2

      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

      • 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

      • 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

      • 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

      • 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

      • Embedded System Development Tools

    • Assembler Interpreter Compiler Simulator Emulator Debugger

      • 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

      • I/O Port Programming

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

      • Motors Interfacing & Sensors

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

      • Introduction to MATLAB Arduino Tool

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

      • Peripheral Interfacing with MATLAB Arduino

    • Led Interfacing
    • 7 Segment Interfacing DC motor Interfacing Stepper motor Interfacing
    • Introduction to Simulink Arduino Tool Library
    • Arduino Interfacing With Simulink
    • Standalone Application Development Using Simulink

      • Projects on Interfacing between Arduino, MATLAB and Simulink

      MODULE 4: VLSI MATLAB 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

      • VLSI Design Flow and HDL’s

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

      • Keywords & Data Types in Verilog HDL

    • Module Initials Always Data Types
    • Hardware Implementation using HDL’s
    • FPGA CPLD RTL

      • 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

      • 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

      • Tools Used for HDL’s

    • Different Tools Available in Industry Working on Xilinx Project Navigator Working on Simulator
    • Introduction to Various HDL Modeling Style
    • Gate Level Modeling Style Data Flow Modeling Style Behavioral Modeling Style Switch Level Modeling Style

      • Project on VLSI MATLAB