The aim of this document is to describe some architectures and methodologies to perform post-processing tasks of automatic production tests for generic electronic boards and systems and, in particular, for wireless ones i.e., cellular and WLAN devices. These post-production tasks, based on machine learning techniques, can be used as support tools for automatic diagnostics in order to increase the prediction capabilities of the production test systems at the board-level description.
Wireless communication test solutions for Cellular and WLAN systems
Sanaz Kianoush;Stefano Savazzi;Vittorio Rampa
2017
Abstract
The aim of this document is to describe some architectures and methodologies to perform post-processing tasks of automatic production tests for generic electronic boards and systems and, in particular, for wireless ones i.e., cellular and WLAN devices. These post-production tasks, based on machine learning techniques, can be used as support tools for automatic diagnostics in order to increase the prediction capabilities of the production test systems at the board-level description.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
