L
Laurent Fesquet
Researcher at University of Grenoble
Publications - 215
Citations - 2012
Laurent Fesquet is an academic researcher from University of Grenoble. The author has contributed to research in topics: Asynchronous communication & Asynchronous circuit. The author has an hindex of 20, co-authored 209 publications receiving 1855 citations. Previous affiliations of Laurent Fesquet include Centre national de la recherche scientifique & Joseph Fourier University.
Papers
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Proceedings ArticleDOI
A new class of asynchronous A/D converters based on time quantization
TL;DR: This work presents a new class of Analog-to-Digital Converters (ADCs), based on an irregular sampling of the analog signal, and an asynchronous design, which leads to a significant reduction in terms of hardware complexity and power consumption.
Book ChapterDOI
A very high speed true random number generator with entropy assessment
TL;DR: Implementation of the generator in two FPGA families confirmed its feasibility in digital technologies and also confirmed it can provide high quality random bit sequences that pass the statistical tests required by AIS31 at rates as high as 200 Mbit/s.
Proceedings ArticleDOI
Asynchronous FIR filters: towards a new digital processing chain
TL;DR: This paper first formalizes the convolution operator in the irregular sampling context and shows that a significant reduction of the computational complexity is achievable, hence a reduction in terms of energy.
Book ChapterDOI
Implementing Asynchronous Circuits on LUT Based FPGAs
TL;DR: This paper describes a general methodology to rapidly prototype asynchronous circuits on LUT based FPGAs, based on the use and the design of a Muller gate library, and an asynchronous dual-rail adder is implemented automatically to demonstrate the potential of the methodology.
Journal ArticleDOI
Adaptive rate filtering a computationally efficient signal processing approach
TL;DR: In this article, the adaptive rate filtering technique based on a level crossing sampling is devised. And the computational complexities and output qualities of the proposed techniques are compared to the classical one for a speech signal.