83 results found

[Thesis]

Time Domain Analogue and RF Signal Processing to cope with Advanced CMOS design challenges

Offer N°: SL-DRT-15-0520

Start date: 1 Oct 2014

This Ph.D. Thesis is focused in the research of new integrated circuits using the time and other temporal variables, such as the phase, for representing analog and RF signals in combination with advanced CMOS devices(FinFET, FDSOI)for emerging application requiring ultra-low power consumption for the Internet of things and sensor networks applications.



[Thesis]

Quality of Service management for distrubuted embedded systems

Offer N°: SL-DRT-15-0659

Start date: 1 Oct 2015

One of the great challenges of intelligent building and smart home is the interconnection of so called smart objects, whether they are integrated to the building (building management systems, home networks) or specific to the user (brown goods, white goods, portable goods). This interconnection is made difficult by the variety of technologies and the multidisciplinary nature of the objects involved.



[Thesis]

Compressive sensing and signal processing of sparse acoustic signals for sources detection, classification and localization

Offer N°: SL-DRT-15-0645

Start date: 1 Oct 2015

The objective of this PhD thesis is the monitoring of industrial electric systems. In particular, the focus is put on rare events detection with important failures on the system (as electric arcs) from a distributed acoustic sensors network. This PhD deals with the optimization of the following steps: signal digitalization, signal processing and data transmission. Those subjects lie in the context of compressive sensing and signal processing of compressed data.



[Thesis]

Development of high resolution photo-modulated Kelvin Probe Force Microscopy for photovoltaics

Offer N°: SL-DRT-15-0619

Start date: 1 Oct 2015

Nowadays, improvements in performance of third generation solar cells are strongly dependent on developing advanced characterization tools capable of mapping the opto-electronic properties of photovoltaic (PV) materials at the nanometer scale. Within the Nano characterisation platform (PFNC), we develop advanced approach based on Atomic Force Microscopy (AFM) and its electrical modes such as Kelvin Probe Force Microscopy (KPFM).



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