Publication

Phase Noise and Dispersion in integrated Silicon Nitride based Kerr-Comb generators

Publications associées (30)

A Real-time Synchrophasor Data Compression Method Using Singular Value Decomposition

The proliferation of phasor measurement units (PMUs) presents new challenges in archiving and processing large amounts of synchrophasor data which necessitates advanced data compression methods. This paper proposes a singular value decomposition (SVD)-base ...

2021

Low Noise Clock Generation: Modeling, Analysis and Implementation

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The aim of this thesis is to implement, analyze and improve the selected low noise clock generation and distribution techniques for ADC implementations. The thesis is divided into two parts. The first part focuses on the sampling phase generation and distr ...

EPFL2021

An Ultra Low-Noise Micropower PPG Sensor

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Nowadays, efficient and remote health monitoring is becoming increasingly important, given both the ageing of population and the combined action of an increase in obesity level and cardiovascular diseases. The healthcare industry is becoming more reliant o ...

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Evidence of Smaller 1/F Noise in AlScN-Based Oscillators Compared to AlN-Based Oscillators

Luis Guillermo Villanueva Torrijo, Andrea Lozzi, Marco Liffredo

In this paper we investigate the direct effect of resonator quality factor (Q) on the oscillator phase noise. We use 2-port contour mode resonators (CMRs), fabricated both with aluminum nitride (AlN) and aluminum scandium nitride (AlScN), as the frequency- ...

Institute of Electrical and Electronics Engineers2020

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

Luc Thévenaz, Simon Adrien Zaslawski, Zhisheng Yang

The benefits and limitations inherent to the 2D post-processing of measurements from Brillouin optical time-domain analyzers are investigated from a fundamental point of view. In a preliminary step, the impact of curve fitting on the precision of the estim ...

IEEE Institute of Electrical and Electronics Engineers2020

Systematic analysis of wavelet denoising methods for neural signal processing

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Objective. Among the different approaches for denoising neural signals, wavelet-based methods are widely used due to their ability to reduce in-band noise. All wavelet denoising algorithms have a common structure, but their effectiveness strongly depends o ...

IOP PUBLISHING LTD2020

Modeling for Ultra Low Noise CMOS Image Sensors

Raffaele Capoccia

The low-light performance of a CMOS image sensor (CIS) is one of the most important performance metrics in a camera, whether it is used in products for consumer electronics or in an image-acquisition system for machine vision or the Internet-of-Things (IoT ...

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W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping

Daniel Sage, Sabine Süsstrunk, Thierry Laroche, Arne Seitz, Ruofan Zhou, Majed El Helou

In fluorescence microscopy live-cell imaging, there is a critical trade-off between the signal-to-noise ratio and spatial resolution on one side, and the integrity of the biological sample on the other side. To obtain clean high-resolution (HR) images, one ...

2020

Machine Learning-Based Lightning Localization Algorithm Using Lightning-Induced Voltages on Transmission Lines

Farhad Rachidi-Haeri, Marcos Rubinstein, Mohammad Azadifar, Hamidreza Karami, Amirhossein Mostajabi

In this article, we present a machine learning-based method to locate lightning flashes using calculations of lightning induced voltages on a transmission line. The proposed approach takes advantage of the preinstalled voltage measurement systems on power ...

2020

Photonic Integrated K-Band Microwave Oscillator Based on Silicon Nitride Soliton Microcomb

Rui Ning Wang, Tobias Kippenberg, Erwan Guillaume Albert Lucas, Maxim Karpov, Hairun Guo, Junqiu Liu, Arslan Sajid Raja, Nils Johan Engelsen, Guanhao Huang, Jijun He

Using photonic integrated silicon nitride microresonators of quality factor exceeding 15 million, we demonstrate 19-GHz-repetition-rate single soliton with 35 mW optical power, and characterize the phase noise of the repetition rate in the K-band microwave ...

IEEE2019