Jan 12, 2023

[Paper] Time-Efficient Adaptive Procedure for Identification of Multitone X-Parameters

Konstanty Łukasik , Graduate Student Member, IEEE, Paweł Barmuta , Member, IEEE,
Troels S. Nielsen, Member, IEEE, Wojciech Wiatr , Life Member, IEEE,
and Dominique M. M.-P. Schreurs, Fellow, IEEE,
"Time-Efficient Adaptive Procedure for Identification of Multitone X-Parameters" 
in IEEE Transactions on Instrumentation and Measurement, 
vol. 72, pp. 1-9, 2023, Art no. 1000609,
DOI 10.1109/TIM.2022.3232171.

Abstract: A novel measurement procedure for the time-efficient identification of multitone X-parameters of active microwave devices and circuits is introduced. Over a given bandwidth, the procedure allows for an adaptive selection of key spectral components necessary for determining the X-parameters characteristics with a minimum measurement effort. The sequential selection is based on the divide-and-conquer algorithm. It results in a huge reduction of the measurement time in comparison to the situation when model coefficients at all spectral components are identified. To validate the procedure, an off-the-shelf broadband power amplifier (PA) was characterized under wideband large-signal excitation conditions. Moreover, small-signal terms at all relevant frequencies were collected as a reference and compared with the results provided by a time-efficient adaptive procedure (TEAP). The proposed method resulted in twenty times reduction in the number of samples required to characterize the PA. As an application example, the small-signal coefficients identified with the TEAP are used to correct characterization results for the measurement instrument’s output mismatch. The mismatch-corrected output signal of the PA under test was represented accurately with the error-vector-magnitude of only 0.132%.

FIG: Block diagram of the measurement setup used for performing experiments.



Jan 11, 2023

[paper] Discovery of Clustered-P1 Borophene and Its Application as the Lightest High-Performance Transistor



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January 11, 2023 at 04:05PM
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Jan 10, 2023

At the outer edges of Moore’s Law



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January 10, 2023 at 03:15PM
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A #Bayesian machine based on #memristors https://t.co/i3BwR9lwVH #semi https://t.co/UQS1FXiu4N



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January 09, 2023 at 11:10PM
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Jan 9, 2023

[ISSCC] First Annual EPFL and ETHZ Friend and Alumni Aperitif


This year at ISSCC 2023, EPFL and ETHZ will host our First Annual Friend and Alumni Aperitif! It is open to all our friends and those who wish to network with us. The event will also be a celebration of Prof. Christian Enz and Prof. Qiuting Huang's retirement, so please spread the word to your network :)

Event Details
Time: Monday (Feb 20th) 5-8pm
Location: San Francisco Marriott Marquis, 2nd floor Foothill D
There will be food and an open bar!