Concept

Partial autocorrelation function

Publications associées (21)

Sparse autoregressive neural networks for classical spin systems

Efficient sampling and approximation of Boltzmann distributions involving large sets of binary variables, or spins, are pivotal in diverse scientific fields even beyond physics. Recent advances in generative neural networks have significantly impacted this ...

Iop Publishing Ltd2024

Contact.engineering-Create, analyze and publish digital surface twins from topography measurements across many scales

Till Junge, Abhijeet Gujrati

The optimization of surface finish to improve performance, such as adhesion, friction, wear, fatigue life, or interfacial transport, occurs largely through trial and error, despite significant advancements in the relevant science. There are three central c ...

IOP Publishing Ltd2022

Global Auto-regressive Depth Recovery via Iterative Non-local Filtering

Pascal Frossard, Jingyu Yang, Xinchen Ye

Existing depth sensing techniques have many shortcomings in terms of resolution, completeness, and accuracy. The performance of 3-D broadcasting systems is therefore limited by the challenges of capturing high-resolution depth data. In this paper, we prese ...

IEEE2019

Measurement of forward top pair production in the dilepton channel in pp collisions at root s=13 TeV

Olivier Schneider, Guido Haefeli, Yiming Li, Christoph Frei, Aurelio Bay, Tatsuya Nakada, Michel De Cian, Frédéric Blanc, Luca Pescatore, François Fleuret, Chitsanu Khurewathanakul, Alessio Ferrari, Basile Schäli, Matthieu Philippe Luther Marinangeli, Elena Graverini, Jessica Prisciandaro, Mark Tobin, Renato Quagliani, Greig Alan Cowan, Federico Betti, Vladislav Balagura, Pietro Marino, Aravindhan Venkateswaran, Mirco Dorigo, Luis Miguel Garcia Martin, Sebastiana Gianì, Vitalii Lisovskyi, Jian Wang, Federico Leo Redi, Maxime Schubiger, Zhirui Xu, Guido Andreassi, Yi Zhang, Violaine Bellée, Lei Zhang, Preema Rennee Pais, Pavol Stefko, Tommaso Colombo, Minh Tâm Tran, Vladimir Macko, Niko Neufeld, Guillaume Max Pietrzyk, Matthew Needham, Daniel Gallichan, Mai Tu Xuan, Marc-Olivier Bettler, Severin Stähly, Marilisa Neri, Maurizio Martinelli, Simon Van Mulders, Alexandra Bondarenko, Donal Patrick Hill, Cédric Potterat, Michael Thompson McCann, Liang Sun, Adriano Pastore, Léonard Yannick Maurice Eymann, Nathalie Sophie Adeline Serra, Jean Wicht, Matteo Fontana, Josiane Angèle Charlotte Smith-Clerc, Xiaoxue Han, Laia Castilla Amorós, Luc Henry, Liupan An, Xiao Yuan, Nandita Aggarwal, Plamen Hristov Hopchev, Thibaud Humair, Sattar Akbari Nakhjavani, Valérie Jeanne Thérèse Renaudin-Schouler, Hang Yin, Thomas Jean Julien Fussinger, Juan Federico Esteban Müller, Brice Emile Maurin, Craig Matthew Smith, Maria Vieites Diaz, Olivier Göran Girard, Vincenzo Battista, Axel Kuonen, Maria Elena Stramaglia, Dipanwita Dutta, Yi Wang, Hans Dijkstra, Gerhard Raven, Peter Clarke, Frédéric Teubert, Giovanni Carboni, Victor Coco, Adam Davis, Paolo Durante, Yu Zheng, Anton Petrov, Maxim Borisyak, Feng Jiang

Forward top quark pair production is studied in pp collisions in the mu eb final state using a data sample corresponding to an integrated luminosity of 1.93 fb(-1) collected with the LHCb experiment at a centre-of-mass energy of 13 TeV. The cross-section i ...

Springer Nature2018

Impact of neutral density fluctuations on gas puff imaging diagnostics

Paolo Ricci, Christoph Wersal

A three-dimensional turbulence simulation of the SOL and edge regions of a toroidally limited tokamak is carried out. The simulation couples self-consistently the drift-reduced two-fluid Braginskii equations to a kinetic equation for neutral atoms. A diagn ...

International Atomic Energy Agency2017

Infrequent Rebalancing, Return Autocorrelation, and Seasonality

Vincent Jean Bogousslavsky

A model of infrequent rebalancing can explain specific predictability patterns in the time series and cross-section of stock returns. First, infrequent rebalancing produces return autocorrelations that are consistent with empirical evidence from intraday r ...

Wiley-Blackwell2016

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

Michaël Unser, John Paul Ward, Hagay Kirshner

In this work, we investigate the relationship between continuous-time autoregressive (AR) models and their sampled version. We consider uniform sampling and derive criteria for uniquely determining the continuous-time parameters from sampled data; the mode ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Stride count and frequency measured with a wrist-worn inertial sensor

Kamiar Aminian, Benedikt Fasel, Cyntia Duc

This study proposes three simple approaches to estimate the stride count and frequency during walking and running using an inertial measurement system on the wrist. The approaches were based on a time-domain, frequency-domain and autocorrelation analysis, ...

2014

Role of sampling in evaluating classical time autocorrelation functions

Jiri Vanicek, Tomas Zimmermann

We analyze how the choice of the sampling weight affects efficiency of the Monte Carlo evaluation of classical time autocorrelation functions. Assuming uncorrelated sampling or sampling with constant correlation length, we propose a sampling weight for whi ...

American Institute of Physics2013

Hydrodynamics of turbulent flows within arrays of circular cylinders

Ana Margarida Da Costa Ricardo

This article presents a detailed spatial description, employing Particle Image Velocimetry, of a flow within an array of rigid and emergent cylinders with varying density in controlled laboratory conditions. Its main objective is to discuss the spatial dis ...

TPU2013

Phase Retrieval for Sparse Signals: Uniqueness Conditions

Martin Vetterli, Yue Lu, Juri Ranieri, Amina Chebira

In a variety of fields, in particular those involving imaging and optics, we often measure signals whose phase is missing or has been irremediably distorted. Phase retrieval attempts the recovery of the phase information of a signal from the magnitude of i ...

2013

Continuous-Domain ARMA Modeling for Ultrasound Tissue Characterization

Michaël Unser, Simona Maggio

In this study, we investigate the possibility of applying a continuous-time ARMA (CARMA) model to radio-frequency ultrasound signals. We consider the effect of the discretization process on the parameters of the continuous system, and we take into account ...

IEEE2011

The autocorrelation function for island areas on self-affine surfaces

Jean-François Molinari, Guillaume Anciaux, Srinivasa Babu Ramisetti

The spatial distribution of regions that lie above contours of constant height through a self-affine surface is studied as a function of the Hurst exponent H. If the surface represents a landscape, these regions correspond to islands. When the surface repr ...

2011

Robust Multivariate and Nonlinear Time Series Models

Time series modeling and analysis is central to most financial and econometric data modeling. With increased globalization in trade, commerce and finance, national variables like gross domestic productivity (GDP) and unemployment rate, market variables lik ...

EPFL2010

Plasma transport and turbulence in the Helimak: Simulation and experiment

Paolo Ricci, Bo Li

The Helimak experiment produces a toroidal plasma with a helical magnetic field. A simulation-experiment comparison of turbulence in this device is presented, focusing on parameter regimes in which the turbulence is dominated by interchange modes with k(pa ...

American Institute of Physics2009

Short and intermediate range order in amorphous GeSe2

Alfredo Pasquarello

By using first-principle molecular dynamics within density functional theory, we study the structural properties of amorphous GeSe2 at a temperature T of 300 K. For each property, a statistical average is obtained from six independent partial averages take ...

2008

Non-iterative exact signal recovery in frequency domain optical coherence tomography

Michaël Unser, Thierry Blu, Rainer Leitgeb

We address the problem of exact signal recovery in frequency domain optical coherence tomography (FDOCT) systems. Our technique relies on the fact that, in a spectral interferometry setup, the intensity of the total signal reflected from the object is smal ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007

Non-Ideal Sampling and Adapted Reconstruction Using the Stochastic Matérn Model

Michaël Unser, Dimitri Nestor Alice Van De Ville, Sathish Ramani

The Matérn class is a parametric family of autocorrelation functions that is commonly used in geostatistics. We argue that a generalized, anisotropic version of this model is suitable for capturing the correlation structure of a variety of natural images. ...

IEEE2006

Statistical description of sediment transport experiments

Christophe Ancey, Peter Frey

A longstanding problem in the study of sediment transport in gravel-bed rivers is related to the physical mechanisms governing bed resistance and particle motion. To study this problem, we investigated the motion of coarse spherical glass beads entrained b ...

2006

Nonlinear feature transformations for noise robust speech recognition

Shajith Ikbal

Robustness against external noise is an important requirement for automatic speech recognition (ASR) systems, when it comes to deploying them for practical applications. This thesis proposes and evaluates new feature-based approaches for improving the ASR ...

EPFL2004