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Nano Scientific Research Centre Pvt Ltd
Nano Scientific Research Centre Pvt Ltd


MATLAB TRAINING

NANO SCIENTIFIC RESEARCH CENTRE PVT LTD(An ISO Certified Company) is one of the leading top Training and Consulting with a good placement track record.We will provide "Regular training, Fast Track Training, Online Training with job assistance.
We are providing Exclusive Training onReal Time Live Projects. Faculty from top MNC’s with highly skilled domain expertise will train & guide you with real time examples, project explanation. We also help you in resume preparation and provide job assistance until you get job

Our training features:
** Training session are conducted by real-time instructor with real-time examples
** Best training material
** State-of-the-art lab with required software for practicing
** Exams and Mock Interviews
** Resume preparation by expert professional s and job assistance


Matlab Training

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Matlab Training
Approx. Rs 6,500 / student
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MATLAB BASIC Programming

Introduction

Obtain a quick overview of The Math Works and MATLAB

Discuss course set-up

Evolution of the language

Features of Matlab

Working with the MATLAB User Interface

Command window

Command History

Workspace

Reading and writing data

Variables and Expressions

Entering commands

Creating variables

Getting help

Accessing and modifying values in variables

Operators

Operators classification

Arithmatic operators

Relational operators

Logical operators

Assignment operator

Semicolon operator

Colon operator

Typecasting operator

Flow Control

Simple if

If - else

Elseif

Nested if

Switch

For loop

While loop

Writing Functions

Creating functions

Calling functions

Sub functions

Data Types

MATLAB® data types

Integers

Structures

Function handles

Analysis and Visualization with Vectors

Calculations with vectors

Plotting vectors

Basic plot options

Annotating plots

Analysis and Visualization with Matrices

Size and dimensionality

Calculations with matrices

Multidimensional arrays

Graphics

2Dimensional plots

3Dimensional plots

Contour plots

File I/O

Opening and closing files
Reading and writing text files
Reading and writing binary files

Graphical User Interfaces

GUIDE introduction

Designing the GUI

Programming the GUI

 

Our training features :

** Training session are conducted by real-time instructor with real-time examples
** Best training material
** State-of-the-art lab with required software for practicing
** Exams and Mock Interviews
** Resume preparation by expert professional s and job assistance


  • Minimum Order Quantity: 1 student
  • Yes! I am interested

    Matlab Image Processing Training

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    Matlab Image Processing Training
    Approx. Rs 6,500 / STUDENT
    Get Best Quote

    Image Processing MATLAB

    Purpose:

    We provides hands-on experience with performing image analysis. Examples and exercises demonstrate the use of appropriate MATLAB® and Image Processing Toolbox™ functionality throughout the analysis process. Topics include:

    • Importing and exporting images
    • Analyzing imagesinteractively
    • Removing noise
    • Aligning imagesand creating apanoramicscene
    • Detecting lines and circlesinan image
    • Segmenting objectedges
    • Segmenting objectsbased on their color and texture
    • Performing batch analysisover sets of images
    • Segmenting objectsbased on their shapeusingmorphological operations
    • Measuring shapeproperties

     

    Course Objective:

     

    Importing and Visualizing Images

     

    Objective: Import image or video frames into MATLAB and visualize them. Convert images to a format that is useful for analysis.

    • Importing and displaying images
    • Converting between image types
    • Exporting images
    • Importing and playing video files

     

    Interactive Exploration of Images

     

    Objective: Explore object details such as shape, texture, and color and create a custom image exploration tool.

    • Obtaining pixel intensity values
    • Extracting a region of interest
    • Computing pixel statistics on a region of interest
    • Measuring object sizes
    • Creating a custom interactive tool

     

    Preprocessing Images

     

    Objective: Perform image preprocessing operations and apply custom functions to images.

    • Adjusting image contrast
    • Reducing noise in an image
    • Using sliding neighborhood operations
    • Using block processing operations

    Spatial Transformation and Image Registration

     

    Objective: Align images to use the same scale and orientation. Compare aligned images. Create a panoramic scene by stitching images.

    • Geometric transformations
    • Image registration using point mapping
    • Creating a panoramic scene

     

     

     

  • Minimum Order Quantity: 1 STUDENT
  • Yes! I am interested

    Matlab Signal Processing Training

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    Matlab  Signal Processing Training
    Approx. Rs 6,500 / student
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    Signal Processing MATLAB

    WE shows how to analyze signals and design signal processingsystems using MATLAB, Signal Processing Toolbox™, and DSP System Toolbox.

     

    Topics include:

    • Creating and analyzing signals
    • Performing spectral analysis
    • Designing and analyzing filters
    • Designing multirate filters
    • Designing adaptive filters

     

    Course Objective:

     

     

    Signals in MATLAB

     

    Objective: Generate sampled and synthesized signals from the command line and visualize them. Create noise signals for a given specification. Perform signal processing operations like resampling, modulation, and correlation.

     

    Creating discrete signals

    • Sampling and resampling
    • Visualizing signals
    • Modeling noise
    • Performing resampling, modulation, and correlation
    • Generating streaming signals
    • Spectral Analysis

     

    Objective: Understand different spectral analysis techniques and the use of windowing and zero padding. Become familiar with the spectral analysis tools in MATLAB and explore nonparametric (direct) and parametric (model-based) techniques of spectral analysis.

     

    Discrete Fourier transform

    • Windowing and zero padding
    • Power spectral density estimation
    • Time-varying spectra
    • Using a spectrum analyzer in MATLAB

     

    Linear Time Invariant Systems

     

    Objective: Represent linear time-invariant (LTI) systems in MATLAB and compute and visualize different characterizations of LTI systems.

     

    LTI system representations

    • z-transform
    • Frequency and impulse response
    • Visualizing filter properties
    • Applying filters to finite and streaming signals

     

  • Minimum Order Quantity: 1 student
  • Yes! I am interested

    Matlab Simulink Training

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    Matlab Simulink Training
    Approx. Rs 6,500 / student
    Get Best Quote

    Simulink for System and algorithm Modeling

    we provide training in algorithm modeling and design validation in Simulink. It demonstrates how to apply basic modeling techniques and tools to develop Simulink block diagrams.

    Topics include:

    Creating and modifying Simulink models and simulating system dynamics
    Modeling continuous
    time, discrete
    time, and hybrid systems
    Modifying solver settings for simulation accuracy and speed
    Building hierarchy into a Simulink model
    Creating reusable model components using subsystems, libraries, and model
    references

    Creating and Simulating a Model
    Objective:
    Create a simple Simulink model, simulate it, and analyze the results.
    Define the potentiometer system
    Explore the Simulink environment interface
    Create a Simulink model of the potentiometer system
    Simulate the model and analyze results Modeling

    Programming Constructs
    Objective:
    Model and simulate basic programming constructs in Simulink.
    Comparisons and decision statements
    Zero crossings
    MATLAB Function block

    Modeling Discrete Systems
    Objective:
    Model and simulate discrete systems in Simulink.
    Define discrete states
    Create a model of a PI controller
    Model discrete transfer functions and state space systems
    Model multirate discrete systems

    Modeling Continuous Systems
    Objective:
    Model and simulate continuous systems in Simulink.
    Create a model of a throttle system
    Define continuous states
    Run simulations and analyze results
    Model impact dynamics

    Solver Selection
    Objective:
    Select a solver that is appropriate for a given Simulink model.
    Solver behavior
    System dynamics
    Discontinuities
    Algebraic loops

    Developing Model Hierarchy
    Objective:
    Use subsystems to combine smaller systems into larger systems.
    Subsystems
    Bus signals
    Masks

    Modeling Conditionally Executed Algorithms
    Objective:
    Create subsystems that are
    executed based on a control signal input.
    Enabled subsystems
    Triggered subsystems
    Input validation model

    Combining Models into Diagrams
    Objective:
    Use model referencing to combine models.
    Model referencing and subsystems
    Model referencing workflow
    Setup a model reference
    Model reference simulation modes
    Store parameters in referenced models

    Creating Libraries
    Objective:
    Use libraries to create and distribute custom blocks.
    Create and populate libraries
    Manage library links
    Add a library to the Simulink Library Browser

  • Minimum Order Quantity: 1 student
  • Yes! I am interested

    Matlab IEEE Projects Mtech & Btech 2017

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    Matlab  IEEE Projects  Mtech & Btech 2017
    Approx. Rs 8,000 / No
    Get Best Quote

     

    MATLAB IEEE Projects List Mtech & Btech 2017

    For more projects papers contact us Mallikarjun -

    NM1601

    LBP-Based Segmentation of Defocus Blur

    NM1602

    Higher-Order Image Co-segmentation

    NM1603

    Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support

    NM1604

    Blind Super Resolution of Real-Life Video Sequences

    NM1605

    Dense and Sparse Reconstruction Error Based Saliency Descriptor

    NM1606

    Automatic Design of Color Filter Arrays in The Frequency Domain

    NM1607

    Contrast Enhancement by Nonlinear Diffusion Filtering

    NM1608

    Wavelet-Based Texture-Characteristic Morphological Component Analysis For Colour Image Enhancement

    NM1609

    Statistical Modeling of Retinal Optical Coherent Tomography

    NM1610

    Automatic Brain Segmentation Method based on Supervoxels

    NM1611

    Image Denoising Using Quadtree-Based Nonlocal Means With Locally Adaptive Principal

    NM1612

    Lossless and Reversible Data Hiding in Encrypted Images with Public Key Cryptography

    NM1613

    A Secure Watermarking Technique Without Loss of Robustness

    NM1614

    Printed image watermarking using direct binarys earch halftoning

    NM1615

    Minority Costume Image Retrieval by Fusion of Color Histogram and Edge Orientation Histogram

    NM1616

    On the Shift Value Set of Cyclic Shifted Sequences for PAPR Reduction in OFDM Systems

    NM1617

    A Low-Complexity Architecture for PAPR Reduction in OFDM Systems with Near-Optimal Performance

    NM1618

    Design and Performance Analysis of a Multiuser OFDM Based Differential Chaos Shift Keying

    NM1619

    High Performance Phase Rotated Spreading Codes for MC-CDMA

     


  • Minimum Order Quantity: 1 No
  • Yes! I am interested

     
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    Nano Scientific Research Centre Pvt Ltd
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    Hyderabad - 500073, Telangana, India
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