- Demonstrate the concepts and workflows using several application examples including waveform modulation ID, RF Fingerprinting, and 5G channel estimation
- Understand trade-offs between machine learning and deep learning techniques for baseband signals
- Pre-process and label baseband data
- Synthesize data to train networks
Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.
About the Presenters
Dr. Houman Zarrinkoub is a senior product manager at MathWorks responsible for wireless communications products. During his 20-year tenure at MathWorks, he has also served as a development manager and has been responsible for multiple signal processing and communications software tools. Prior to MathWorks, he was a research scientist working on mobile and voice coding technologies in the Wireless Group at Nortel Networks. He has been awarded multiple patents on topics related to computer simulations of signal processing applications. Houman is the author of the book Understanding LTE with MATLAB: From Mathematical Modeling to Simulation and Prototyping. He holds a B.Sc. degree in electrical engineering from McGill University and M.Sc. and Ph.D. degrees in telecommunications from the University of Quebec, in Canada.
Florent Busnoult is a Senior Application Engineer at MathWorks focusing on signal processing and wireless communications products. He holds a Master’s degree in telecommunications engineering from Telecom Bretagne, in France.