Scientific direction Development of key enabling technologies
Transfer of knowledge to industry

PhD : selection by topics

Analog to Digital Converter for Neural Network based Acoustic Detection System for IoT Systems

Département Architectures Conception et Logiciels Embarqués (LIST-LETI)

Laboratoire Architectures Intégrées Radiofréquences

01-09-2018

SL-DRT-18-0494

dominique.morche@cea.fr

The purpose of this PhD is to develop a new analog to digital converter whose output will be some trains of spike. This waveform is particularly adapted to the neural network processing. A joint optimization between the ADC and the neural network will be done by the PhD. Signal Detection and Classification is becoming a key function in the internet of things to extract useful information from the environment. For such functionality, neural network based processing is becoming more and more interesting. However, the power efficiency is often limited by the analog to digital interface which is mandatory. Therefore, more power efficient analog to digital interface are required and their power consumption should adapt itself to the application requirements. That is the reason why, the purpose of this PhD is to develop a new analog to digital converter whose output will be some trains of spike. This waveform is particularly adapted to the neural network processing. A joint optimization between the ADC and the neural network will be done by the PhD, in collaboration with a Post-Doc who will be working on the digital part. The design will exploit the 28nm FD-SOI technology developed by STMicroelectronics. Several circuit will be design, fabricated and tested. The objective at the end is to build a demonstrator able to distinguish audio signals. Industrials use cases will be considered. The Phd will be done in collaboration with IMT Atlantique. The PhD will be asked to present his work in the scope of collaborative European project.

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