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Four Ways to Boost Simulation Data Processing Using Python

1   Hour | eSeminar - Gravado | Onde e quando


Modern high frequency circuit simulation is complex and dealing with generated data can be challenging. This webcast presents a methodology for linking the Python data processing environment to the Keysight ADS circuit simulation environment in a straightforward and easy to implement process. Practical examples are also demonstrated to illustrate the power and flexibility of this approach; no Python experience is necessary.


RF Engineers who utilize Python programming to perform complex data processing applications.


Matt Ozalas, Senior RF Power Amplifier & Module Design Expert, Keysight EEsof EDA

Matthew Ozalas received his BSEE from Penn State University in 2001 and his MSEE and MBA from Arizona State University in 2010. From 2001 to 2005, he worked as part of the Advanced Wireless Department at the Mitre Corporation where he did RFIC and Power Amplifier Design for a variety of high frequency applications. From 2005-2013, he worked at Skyworks Solutions in the Santa Rosa Design Center, designing and developing high volume multiband power amplifier and front end modules for wireless handsets. He joined Keysight EEsof EDA in 2013, where he is currently working as a Senior RF Power Amplifier & Module Design Expert.

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Gratuito At Your PC Enroll to view the May 4, 2017 recorded broadcast 

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Materiais de Treinamentos e Eventos

Four Ways to Boost Simulation Data Processing Using Python Slides 
Slides from the May 4, 2017 webcast

Materiais de seminário 2017-05-04