ΣΕΜΙΝΑΡΙΟ MATLAB

Corallia Cluster Initiative

Workshop: 

Signal Processing, Wireless Communication and Deep Learning using MATLAB and Simulink
 
Πέμπτη 19/04/2018
Ώρα έναρξης: 10:00-12:00
 

Το σεμινάριο απευθύνεται στα μέλη του Corallia Clusters Initiative, σε μηχανικούς – στελέχη εταιριών και επιχειρήσεων  με δραστηριότητα στη σχεδίαση και υλοποίηση αλγορίθμων, που θέλουν να ενημερωθούν και να δουν μέσα από αναλυτικά παραδείγματα τις δυνατότητες του MATLAB και του Simulink.

Θα χρησιμοποιηθούν πλήρως λειτουργικά μοντέλα υλοποιημένα σε hardware, όπως Xilinx Zynq Zedboard, προκειμένου να παρουσιαστούν οι δυνατότητες του λογισμικού σε διαδικασίες όπως:

  • Επεξεργασία σήματος και εικόνας
  • Τηλεπικοινωνίες
  • Deep Learning
  • Embedded Systems / FPGA Design
  • Ανάπτυξη λογισμικού
  • Μοντελοποίηση Συστημάτων
  • Design Verification and Validation

Τόπος Διεξαγωγής:

α2-innohub (HQ), Αίθουσα: Coral Reef

Λ. Κηφισίας 44, Monumental Plaza Κτήριο Γ, 15125 Μαρούσι, Αττική

 

Το σεμινάριο είναι ΔΩΡΕΑΝ και θα γίνει στα Αγγλικά. Για να δηλώσετε τη συμμετοχή σας, παρακαλούμε συμπληρώστε τα στοιχεία σας στην φόρμα εγγραφής (περιορισμένος αριθμός θέσεων).


ΟΜΙΛΗΤΗΣ:

Jonas Rutström

Senior Application Engineer, MathWorks

Jonas works on the application engineering team at MathWorks. He previously worked as a developer, project manager, and brand manager at Dirac Research, a Swedish company providing audio signal processing solutions for the automotive and consumer market. Beside his focus on digital signal processing, FPGA development, and communications applications, he is also interested in sales, marketing, and business development. Jonas has a M.Sc. in information technology and a technical licentiate in signal processing from Uppsala University. During his graduate studies he worked in the area of communications and audio signal processing.   


Seminar Overview

MathWorks signal processing and communication products provide extensive tools and algorithm libraries that let you design, simulate and implement DSP and communications systems.

Within a single, integrated algorithm and system development environment, you can:

  • Acquire measured data and analyze signals
  • Develop algorithms for signal processing, communications, audio, and video applications
  • Simulate the effect of real-world conditions and system-level interactions on algorithm behavior
  • Generate C or HDL code for execution on embedded DSPs, ASICs, and FPGAs
  • Train, use and implement Deep Neural Networks

During this seminar we will inspire you how to use MATLAB and Simulink in various tasks common to engineers, researchers and developers all over the world.

We will focus on the use of MATLAB and Simulink as an integrated environment that can be used during the entire development process of a product or application – from idea to implementation and verification. We will also cover how to use MATLAB in Deep Learning, an area which has gained a lot of interest lately.

Reasons to attend this seminar:

  • Expand your awareness of what is possible to do with MATLAB and Simulink
  • Become more efficient in how you use MATLAB and Simulink
  • Learn how MATLAB/Simulink can be used  as powerful product a development tools
  • Use this opportunity to interact with MathWorks representatives
  • Meet other users of MATLAB and Simulink
  • See what’s new in R2018a

 

Who Should Attend?

  • Researchers and Students
  • Signal Processing Engineers
  • Communications System Engineers
  • Software/Hardware Engineers

This seminar is appropriate for both new and experienced users.

 

 


ΠΡΟΓΡΑΜΜΑ ΠΑΡΟΥΣΙΑΣΗΣ

10:00 – 10:30        

Signal Processing and Communication

 

  • Data import, visualization, filter design and analysis
  • Time and frequency domain measurements
  • DSP and communication system development
  • Mixed-Signal, RF Design and Software Defined Radio

10:30 – 11:00

System Design and Testing

 
  • Use Model-Based Design with MATLAB and Simulink to verify and validate embedded systems
  • Attach requirements to your model, and verify and trace them to the design, tests, and code.
  • Prove that your design meets requirements, and automatically generate tests.

11:00 – 11:30       

Accelerating FPA-SoC-ASIC Design and Verification

 

  • Generating C/HDL Code from MATLAB/Simulink
  • HDL Area, Speed and Power Optimization Techniques
  • Verification and Validation using Co-simulation and FPGA-in-the-Loop using Xilinx and Intel SoC Devices.

11:30 – 11:50

Training, Using and Implementing Deep Neural Networks

 
  • Build deep learning models and explore how MATLAB can help you perform deep learning tasks.

11:50 – 12:00       

What's New in 2018a