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

Guaranteed to Run

When you register for one of these courses, you can rely on the fact that it won't be canceled or rescheduled for any reason.

Course Schedule

Results 1 - 2 of 2

Dates	Location	Language	Price	Register
08 May 2020	Germany, Ismaning (bei München)	English	EUR 700
20 May 2020	Online 9:00 a.m. - 5:00 p.m. US Eastern Daylight Time	English	USD 750

Results 1 - 2 of 2

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