Wireless Waveform Generations and Analysis with MATLAB
From Microwave Journal
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In this webinar, you will learn how to easy it is to use MATLAB for wireless waveform generation and analysis. You will also learn how you can verify your designs under test (DUT) in MATLAB by using live radio signals through waveform generation and over-the-air testing.
First, you will learn how to generate standards-based waveform interactively. You will explore waveform design space by changing physical layer parameters including bandwidth, MIMO modes, modulation and coding scheme. Then, as you transmit generated signals live over the air, you will learn how to setup acquisition parameters, retrieve IQ data into MATLAB and finally perform measurement and analysis on the received data.
Highlights
- Waveform generation and transmission of wireless signals using Wireless Waveform Generator app
- Waveform analysis of received signals using Wireless Waveform Analyzer app
- Hardware connectivity to RF instruments and SDR devices
- Wireless signal quality measurements with metrics like EVM and ACLR
About the Presenters
Dr. Houman Zarrinkoub is the principal product manager at MathWorks for wireless communications products. During his 24-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.
Iman Abdalla is a Senior Application Engineer at the Mathworks, who specializes in wireless communications and AI. She received the B.S.E.E. degree from Alexandria University, Egypt, in 2010, and the M.S. degree in wireless technologies from Nile University, Egypt, in 2014. Throughout 2013, she interned at Intel Corporation in Oregon, USA. She received the Ph.D. degree from the Electrical and Computer Engineering Department, Boston University in 2021. Iman is the recipient of Boston University's Best Dissertation Award in CE 2021, as well as Boston University’s Graduate Teaching Assistant of the year award 2019. Her research interests include wireless communications, heterogeneous networks and AI. She received a Best Paper Award from IEEE GLOBECOM 2018, Abu Dhabi, UAE, in the ONS track as well as the TAOS Technical Committee’s Award for Best Paper in the ONS Symposium, 2019, Shanghai, China.
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Get a free product trial: https://goo.gl/ZHFb5u
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
See what's new in MATLAB and Simulink: https://goo.gl/pgGtod
© 2025 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
First, you will learn how to generate standards-based waveform interactively. You will explore waveform design space by changing physical layer parameters including bandwidth, MIMO modes, modulation and coding scheme. Then, as you transmit generated signals live over the air, you will learn how to setup acquisition parameters, retrieve IQ data into MATLAB and finally perform measurement and analysis on the received data.
Highlights
- Waveform generation and transmission of wireless signals using Wireless Waveform Generator app
- Waveform analysis of received signals using Wireless Waveform Analyzer app
- Hardware connectivity to RF instruments and SDR devices
- Wireless signal quality measurements with metrics like EVM and ACLR
About the Presenters
Dr. Houman Zarrinkoub is the principal product manager at MathWorks for wireless communications products. During his 24-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.
Iman Abdalla is a Senior Application Engineer at the Mathworks, who specializes in wireless communications and AI. She received the B.S.E.E. degree from Alexandria University, Egypt, in 2010, and the M.S. degree in wireless technologies from Nile University, Egypt, in 2014. Throughout 2013, she interned at Intel Corporation in Oregon, USA. She received the Ph.D. degree from the Electrical and Computer Engineering Department, Boston University in 2021. Iman is the recipient of Boston University's Best Dissertation Award in CE 2021, as well as Boston University’s Graduate Teaching Assistant of the year award 2019. Her research interests include wireless communications, heterogeneous networks and AI. She received a Best Paper Award from IEEE GLOBECOM 2018, Abu Dhabi, UAE, in the ONS track as well as the TAOS Technical Committee’s Award for Best Paper in the ONS Symposium, 2019, Shanghai, China.
--------------------------------------------------------------------------------------------------------
Get a free product trial: https://goo.gl/ZHFb5u
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
See what's new in MATLAB and Simulink: https://goo.gl/pgGtod
© 2025 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
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