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Four Ways to Boost Simulation Data Processing Using Python

1   小时 | 网上直播 -- 已存档的 | 地点和时间

WHY THIS WEBCAST IS IMPORTANT

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.

WHO SHOULD ATTEND

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

PRESENTER

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.

地点和时间

价格 地点 更多信息
免费 At Your PC Enroll to view the May 4, 2017 recorded broadcast 

显示价格为标准定价,如有变更,恕不另行通知。

培训及活动材料

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

研讨会演示 2017-05-04

PDF PDF 2.66 MB