Course Schedule

Prerequisites

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

Communication Systems Modeling with Simulink

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

See detailed course outline

Prerequisites

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

Day 1 of 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

Course Schedule

Prerequisites

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

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MATLAB and Simulink Course Schedule

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Prerequisites

Communication Systems Modeling with Simulink

Prerequisites

Academic Discount

Guaranteed to Run

MATLAB and Simulink Course Schedule

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