Publications related to The Fano Noise Suppression Factor and the Gm/ID FoM

Related publications (28)

Intelligent RF System for Ultra Low Power Spectrum Sensing with Machine Learning

The crowdedness of the RF spectrum constitutes problems in communication, however it also accommodates large amount of useful information. This information can be used to determine existing signals and operating contexts. However, spectrum condition varies ...

EPFL2024

Injection-Induced Aseismic Slip in Tight Fractured Rocks

Brice Tanguy Alphonse Lecampion

We investigate the problem of fluid injection at constant pressure in a 2D Discrete Fracture Network (DFN) with randomly oriented and uniformly distributed frictionally-stable fractures. We show that this problem shares similarities with the simpler scenar ...

SPRINGER WIEN2023

Engineered substrates incapable of induction of chondrogenic differentiation compared to the chondrocyte imprinted substrates

Philippe Renaud, Leila Montazeri

It is well established that surface topography can affect cell functions. However, finding a reproducible and reliable method for regulating stem cell behavior is still under investigation. It has been shown that cell imprinted substrates contain micro- an ...

IOP Publishing Ltd2023

Fast and robust parameter estimation with uncertainty quantification for the cardiac function

Alfio Quarteroni

Background and objectives: Parameter estimation and uncertainty quantification are crucial in computa-tional cardiology, as they enable the construction of digital twins that faithfully replicate the behavior of physical patients. Many model parameters reg ...

ELSEVIER IRELAND LTD2023

Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice

Silvestro Micera

Objective. The optic nerve is a good location for a visual neuroprosthesis. It can be targeted when a subject cannot receive a retinal prosthesis and it is less invasive than a cortical implant. The effectiveness of an electrical neuroprosthesis depends on ...

IOP Publishing Ltd2023

Sonomyographic Prosthetic Interacion: Online Simultaneous and Proportional Control of Wrist and Hand Motions Using Semisupervised Learning

Xingchen Yang

Human hands play a very important role in daily object manipulation. Current prosthetic hands are capable of mimicking most functions of the human hand, but how to interact with prosthetic hands based on human intentions remains an open problem. In this ar ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Micromechanically inspired investigation of cemented granular materials: part I-from X-ray micro tomography to measurable model variables

Edward Carlo Giorgio Andò

Cemented granular materials are abundant in nature and are often artificially produced. Their macroscopic behaviour is driven by small-scale material processes, which are generally classified as: grain breakage, cement damage and fragment rearrangement. Th ...

SPRINGER HEIDELBERG2022

Decentralized Gan Training Through Diffusion Learning

Ali H. Sayed, Noé Stauffer

Most available studies on distributed GAN architectures focus on implementations with a fusion center. In this work, we propose a fully decentralized scheme by employing a diffusion strategy to train a network of GANs. We interpret the training procedure a ...

IEEE2022

Dynamic SCL Decoder With Path-Flipping for 5G Polar Codes

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Yifei Shen

Since polar were ratified as part of the 5G standard, low-complexity polar decoders with close-to-optimum error-rate performance have received significant attention. Compared to successive cancellation (SC) decoding, both SC list and SC flip decoding can i ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Adhesive wear with a coarse-grained discrete element model

Jean-François Molinari, Son-Jonathan Pham-Ba

The use of molecular dynamics (MD) simulations has led to promising results to unravel the atomistic origins of adhesive wear, and in particular for the onset of wear at nanoscale surface asperities. However, MD simulations come with a high computational c ...

ELSEVIER SCIENCE SA2022

Adversarial training with informed data selection

Pascal Frossard, Javier Alejandro Maroto Morales

With the increasing amount of available data and advances in computing capabilities, deep neural networks (DNNs) have been successfully employed to solve challenging tasks in various areas, including healthcare, climate, and finance. Nevertheless, state-of ...

IEEE2022

How we made the 2D transistor

Andras Kis

NATURE PORTFOLIO2021

Implantable Neuro-Modulation Devices and Technology

Alexandre Schmid

Implantable electronic medical devices that operate in closed-loop allow efficient neuro-modulation. Area and power are to be carefully balanced to improve the system autonomy and safety. New digital modulation schemes with implementation in the front-end ...

IEEE, ELECTRON DEVICES SOC & RELIABILITY GROUP2021

Distributed Learning in Non-Convex Environments-Part I: Agreement at a Linear Rate

Ali H. Sayed, Stefan Vlaski

Driven by the need to solve increasingly complex optimization problems in signal processing and machine learning, there has been increasing interest in understanding the behavior of gradient-descent algorithms in non-convex environments. Most available wor ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

PM2.5 Monitoring: Use Information Abundance Measurement and Wide and Deep Learning

Daniel Thalmann

This article devises a photograph-based monitoring model to estimate the real-time PM2.5 concentrations, overcoming currently popular electrochemical sensor-based PM2.5 monitoring methods' shortcomings such as low-density spatial distribution and time dela ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

DB4HLS: A Database of High-Level Synthesis Design Space Explorations

Giovanni Ansaloni

High-level synthesis (HLS) frameworks allow to easily specify a large number of variants of the same hardware design by only acting on optimization directives. Nonetheless, the hardware synthesis of implementations for all possible combinations of directiv ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Learning to Automate the Design Updates From Observed Engineering Changes in the Chip Development Cycle

Heinz Riener

The behavioral revisions to the design are frequent in the late stage of the semiconductor chip development. Quite often, their realization emphasizes incrementality that seeks minimum perturbation of the existing implementation. This tutorial paper poses ...

IEEE2020

Monolithic piezoelectric control of integrated soliton microcombs

Tobias Kippenberg, Junqiu Liu, Rui Ning Wang, Erwan Guillaume Albert Lucas, Wenle Weng, Jijun He, Arslan Sajid Raja, Miles Henry Anderson, Tianyi Liu

We demonstrate piezoelectric actuators monolithically integrated on ultralow-loss Si3N4 waveguides. Varying the voltage applied on the actuator allows tuning the microresonator, and is used to initiate, switch, stabilize and tightly phase lock the single s ...

IEEE2020

Ionizing-Radiation Response and Low-Frequency Noise of 28-nm MOSFETs at Ultrahigh Doses

Christian Enz

Total ionizing dose (TID) mechanisms are investigated in 28-nm MOSFETs via dc static and low-frequency noise measurements. nMOSFETs and pMOSFETs are irradiated up to 1 Grad(SiO2) and annealed at high temperatures. TID sensitivity depends on the channel len ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Interplay Between Topology and Social Learning Over Weak Graphs

Ali H. Sayed, Virginia Bordignon, Augusto José Rabelo Almeida Santos

This work examines a distributed learning problem where the agents of a network form their beliefs about certain hypotheses of interest. Each agent collects streaming (private) data and updates continually its belief by means of a diffusion strategy, which ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020