MATLAB & Simulink


Applying Communication Design with SIMULINK

Course Highlights

Using hands-on examples, this one-day course demonstrates the use of Simulink products to design common communication systems. The emphasis is on designing end-to-end communication systems using Simulink®, Communications System Toolbox™, and DSP System Toolbox™.

Topics include:

  • Modeling using Communications System Toolbox

  • Analyzing the bit error rate (BER) of a communication system

  • Adding channel impairments

  • Designing receiver algorithms

Who Must Attend

This course is intended for engineer, researchers, scientists, and managers, who are involved in the design of common communication system. It is also strongly recommended for those who would like to establish and strengthen their foundation in Common Communication Engineering. 



Upcoming Program

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Techsource Systems is
Mathworks Sole and Authorised Distributor and Training Partner


MATLAB Fundamentals, MATLAB for Signal Processing, and Simulink for Signal Processing, or working experience with MATLAB, Simulink, and DSP System Toolbox.

Course Outline

Day 1

Amplitude Modulation Using Simulink


Objective: Build an AM system to review basic concepts in Simulink.

  • Building a simple AM model in Simulink

  • Creating a subsystem

  • Visualizing a signal in the time and frequency domains

  • Working with MATLAB data

  • Simulating the model from the command line


Modeling Using Communications System Toolbox


Objective: Build an end-to-end QPSK model using Communications System Toolbox and become familiar with the different visualization tools within the toolbox.

  • Exploring Communications System Toolbox

  • Creating a QPSK transmitter model

  • Generating a random source

  • Using frame-based processing

  • Visualizing with scatter plots and eye diagrams

  • Creating a QPSK receiver model

  • Calculating error rate statistics


Communication Systems Analysis


Objective: Analyze the BER performance of an end-to-end communication system by writing a MATLAB script and using BERTool.

  • Computing the BER curve

  • Automating performance analysis: scripts

  • Adding channel coding

  • Using BERTool for performance analysis


Channel Impairments and Receiver Algorithms


Objective: Add channel impairments and recovery blocks to test receiver performance.

  • Adding phase and frequency offset

  • Correcting phase and frequency using DQPSK

  • Adding timing offset

  • Correcting for timing offset

  • Modeling multi-path channel impairments

  • Using MATLAB code in the model for equalization