Roberto Rubino
Relaxation Digital to Analog Converter: Analysis and Design.
Rel. Paolo Stefano Crovetti. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2019
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Abstract
Emerging Internet of Things (IoT) applications require ultra-low voltage, reconfigurable, highly energy and power efficient integrated circuits (ICs) for sensing, computing and communicating, which are extremely challenging to be designed by traditional techniques. Interfaces towards the analog world, in particular, require medium-to-low resolution (8-12bit) data converters with a sample rate in the hundreds of kS/s range, capable to operate at supply voltages below 0.5V and achieving an energy figure of merit (FOM) in the order of 1fJ/(conversion step). In this framework, the thesis addresses the analysis and design in 40nm CMOS technology process of a Digital-to-Analog Converter (DAC) suitable to the challenges of IoT applications.
The converter, based on the novel-in-concept relaxation digital-to-analog conversion technique, exploits the impulse response of a first order RC network to generate and sum up binary weighted voltages to perform D/A conversion
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