Publications related to Physics-informed machine learning for reduced-order modeling of nonlinear problems

Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

We study the problem of distributed least-squares estimation over ad hoc adaptive networks, where the nodes have a common objective to estimate and track a parameter vector. We consider the case where there is stationary additive colored noise on both the ...

IEEE2011

OCULAR ARTIFACT REMOVAL FROM EEG: A COMPARISON OF SUBSPACE PROJECTION AND ADAPTIVE FILTERING METHODS.

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani, Eleni Kroupi

One of the fundamental challenges in EEG signal processing is the selection of a proper method to correct ocular artifacts in the recorded electroencephalogram (EEG). Several methods have been proposed for this task. Among these methods, two main categorie ...

2011

Performance limits of LMS-based adaptive networks

Ali H. Sayed

In this work we analyze the mean-square performance of different strategies for adaptation over two-node least-mean-squares (LMS) networks. The results highlight some interesting properties for adaptive networks in comparison to centralized solutions. The ...

IEEE2011

A tight bound on the performance of a minimal-delay joint source-channel coding scheme

Bixio Rimoldi, Marius Kleiner

An analog source is to be transmitted across a Gaussian channel in more than one channel use per source symbol. This paper derives a lower bound on the asymptotic mean squared error for a strategy that consists of repeatedly quantizing the source, transmit ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Integer-Forcing architectures for MIMO: Distributed implementation and SIC

Michael Christoph Gastpar

Email Print Request Permissions Save to Project Linear receivers are often used in multiple-antenna systems due to ease of implementation. However, traditional linear receivers such as the Decorrelator and the linear minimum-mean squared error (MMSE) recei ...

IEEE2010

Distributed Karhunen-Loeve Transform With Nested Subspaces

Michael Christoph Gastpar, Naveen Goela

A network in which sensors observe a common Gaussian source is analyzed. Using a fixed linear transform, each sensor compresses its high-dimensional observation into a low-dimensional representation. The latter is provided to a central decoder that reconst ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Energy transfer in nonlinear network models of proteins

Francesco Piazza

We investigate how nonlinearity and topological disorder affect the energy relaxation of local kicks in coarse-grained network models of proteins. We find that nonlinearity promotes long-range, coherent transfer of substantial energy to specific functional ...

EDP Sciences2009

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Suhas Diggavi

We consider multiple description source coding problem with Gaussian source and mean squared error, for

K=3

descriptions. We obtain an outer bound for the rate region of the problem. We also derive an inner bound for the problem based on successively ref ...

2007

Hierarchical wavelet modelling of environmental sensor data

Anthony Christopher Davison, Yann Ruffieux

Motivated by the need to smooth and to summarize multiple simultaneous time series arising from networks of environmental monitors, we propose a hierarchical wavelet model for which estimation of hyperparameters can be performed by marginal maximum likelih ...

2007

Data-Driven Controller Tuning Using Frequency Domain Specifications

Alireza Karimi, Roland Longchamp, Daniel Garcia

A model-free PID controller tuning approach is presented in this paper. The method can handle different stability and performance indicators in the frequency domain. The phase margin, gain margin, crossover frequency and more advanced indicators which are ...

2006

Physics-informed machine learning for reduced-order modeling of nonlinear problems

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Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

OCULAR ARTIFACT REMOVAL FROM EEG: A COMPARISON OF SUBSPACE PROJECTION AND ADAPTIVE FILTERING METHODS.

Performance limits of LMS-based adaptive networks

A tight bound on the performance of a minimal-delay joint source-channel coding scheme

Integer-Forcing architectures for MIMO: Distributed implementation and SIC

Distributed Karhunen-Loeve Transform With Nested Subspaces

Energy transfer in nonlinear network models of proteins

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Hierarchical wavelet modelling of environmental sensor data

Data-Driven Controller Tuning Using Frequency Domain Specifications

Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

OCULAR ARTIFACT REMOVAL FROM EEG: A COMPARISON OF SUBSPACE PROJECTION AND ADAPTIVE FILTERING METHODS.

Distributed Karhunen-Loeve Transform With Nested Subspaces

A tight bound on the performance of a minimal-delay joint source-channel coding scheme

Integer-Forcing architectures for MIMO: Distributed implementation and SIC

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Performance limits of LMS-based adaptive networks

Energy transfer in nonlinear network models of proteins

Hierarchical wavelet modelling of environmental sensor data

Data-Driven Controller Tuning Using Frequency Domain Specifications