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15th European signal processing Conference, EUSIPCO 2007

作者： Gómez, Juan C. Baeyens, Enrique Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Riobamba 245 Bis 2000 Rosario Argentina Department of Systems Engineering and Automatic Control ETSII - Universidad de Valladolid Paseo del Cauce s/n 47011 Valladolid Spain

ISBN: (纸本)9788392134022

A new subspace method for the blind (i.e., based only on output data) identification of Single Input Single Output Wiener models is presented in this paper. The Wiener model consists of the cascade of a Linear Time Invariant (LTI) system followed by a zero-memory nonlinear element. The linear block in the Wiener model is given an Infinite Impulse Response (IIR) representation using orthonormal bases with fixed poles, while the static nonlinearity is represented using nonlinear basis functions. Basis coefficients (both of the linear and nonlinear blocks) are estimated in closed form, up to a scalar factor, by first computing the column space of an equivalent output Hankel matrix using Singular Value Decomposition (SVD), and then solving two Least Squares problems also resorting to SVDs. The performance of the proposed algorithm is illustrated through a simulation example. © 2007 EURASIP.

关键词： Singular value decomposition

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Generating Textures for 3D Head Models: A Wavelet-Based Approach

Generating Textures for 3D Head Models: A Wavelet-Based Appr...

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IEEE International Conference on Image processing

作者： Silvina Ferradal Juan Carlos Gomez Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Rosario Argentina

A novel method for the automatic generation of a facial texture is proposed in this paper. Multiple pictures from the individual are combined to create the texture using a wavelet-based technique. The different tasks involved in the proposed method include: scaling, histogram equalization, deformation and merging. A set of particular feature points of the MPEG-4 standard for multimedia applications is used in the above mentioned tasks. In the merging stage, wavelet multiresolution decomposition of the images and filtering of the wavelet coefficients are performed to obtain a seamless texture. Finally, the resulting texture is mapped onto a 3D head model which has been adapted to the particular individual based on the same pictures. Since the proposed method relies on the MPEG-4 facial and body animation (FBA) standard, it can be easily integrated with applications using the same standard.

关键词： Merging Head Histograms Humans Surface texture signal generators MPEG 4 Standard Facial animation Application software Cloning

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Subspace-based blind identification of IIR systems

Subspace-based blind identification of IIR systems

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2006 16th IEEE signal processing Society Workshop on Machine Learning for signal processing, MLSP 2006

作者： Gómez, Juan C. Baeyens, Enrique Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Riobamba 245 Bis 2000 Rosario Argentina Department of Systems Engineering and Automatic Control ETSII Universidad de Valladolid Paseo del Cauce s/n 47011 Valladolid Spain

ISBN: (纸本)1424406560

A new subspace method for the blind identification of Infinite Impulse Response (IIR), Single Input-Multiple Output (SIMO) systems represented using orthonormal bases with fixed poles, is presented in this paper. Basis coefficients are estimated in closed form, up to a scalar factor, by first computing the column space of the output Hankel matrix using Singular Value Decomposition (SVD), and then solving a Least Squares problem also resorting to an SVD. The performance of the proposed algorithm is illustrated through a simulation example. © 2006 IEEE.

关键词： Blind source separation

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Subspace-Based Blind Identification of IIR systems

Subspace-Based Blind Identification of IIR Systems

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IEEE Workshop on Machine Learning for signal processing

作者： Juan C. Gomez Enrique Baeyens Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Rosario Argentina Department of Systems Engineering and Automatic Control Universidad de Valladolid Valladolid Spain

A new subspace method for the blind identification of infinite impulse response (IIR), single input-multiple output (SIMO) systems represented using orthonormal bases with fixed poles, is presented in this paper. Basis coefficients are estimated in closed form, up to a scalar factor, by first computing the column space of the output Hankel matrix using singular value decomposition (SVD), and then solving a least squares problem also resorting to an SVD. The performance of the proposed algorithm is illustrated through a simulation example.

关键词： Finite impulse response filter Stability Sensor arrays signal processing Matrix decomposition Singular value decomposition Least squares approximation signal processing algorithms Computational modeling Digital communication

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Removal of ocular artifacts for high resolution EEG studies: a simulation study

Removal of ocular artifacts for high resolution EEG studies:...

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28th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Astolfi, Laura Cincotti, Febo Mattia, Donatella Babiloni, Fabio Marciani, Maria Grazia De Vico Fallani, Fabrizio Mattiocco, Marco Miwakeichi, Funlikazu Yamaguchi, Yoko Martinez, Pablo Salinari, Serenefla Tocci, Andrea Bakardjian, Hovagim Vialatte, Francois Benoit Cichocki, Andrzej Laboratory for Advanced Brain Signal Processing Riken Brain Science Institute Japan IRCCS Fondazione Santa Lucia Rome Italy Dipartimento di Fisiologia Umana e Farmacologia Rome Italy Centro di Ricerca de La Sapienza per l'Analisi dei Modelli e dell'Informazione nei Sistemi Biomedici Rome Italy Laboratory for Dynamics of Emergent Intelligence Riken Brain Science Institute Japan Department of Medical System Engineering Faculty of Engineering Chiba University Japan Dep. of Informatica e Sistemistica Univ. of Rome La Sapienza Rome Italy

ISBN: (纸本)9781424400324

Eye movements and blinks may produce unusual voltage changes that propagates from the eyeball through the head as volume conductor up to the scalp electrodes, generating severe electroencephalographic artifacts. Several methods are now available to correct the distortion induced by these events on the EEG, having different advantages and drawbacks. The main focus of this work is to quantify the performance of the removal of EOG artifact due to the application of the independent component analysis (ICA) methodology. The precise quantification of the effects of artifact removal by ICA is possible by using a simulation setup, with a realistic head model, that it is able to mimic the occurrence of an eye blink. The electrical activity generated by the simulated eyeblink were propagated throu.1i the realistic head model and superimposed to a clean segment of EEG. Then, artifact removal was performed by using the ICA approach. Ocular artifact removal was evaluated in different operative conditions, characterized by different signal to Noise Ratio and number of electrodes. The error measures used were the Relative Error and the Correlation Coefficient between the clear, original EEG segment and those obtained after the application of the ICA procedure.

关键词： EOG EEG ICA realistic head model high resolution EEG

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ICT tools in a signals and systems course at the University of Rosario

ICT tools in a signals and systems course at the University ...

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44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05

作者： Gómez, Juan Carlos Ferradal, Silvina Del Colle, Franco Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Riobamba 245 Bis 2000 Rosario Argentina

ISBN: (纸本)0780395689

In this paper, the use of Information and Communications Technologies (ICT) tools in a course on signals and systems at the University of Rosario is described. The course is now in its sixth year. The format of the course as well as the ICT resources employed as a support for the lectures and laboratories are described. The use of these new technologies has proved to increase the level of students' participation and the students' satisfaction rate with the course. Some ongoing projects are also presented in this paper. © 2005 IEEE.

关键词： Information technology

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Removal of ocular artifacts for high resolution EEG studies: a simulation study

Removal of ocular artifacts for high resolution EEG studies:...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Laura Astolfi Febo Cincotti Donatella Mattia Fabio Babiloni Maria Grazia Marciani Fabrizio De Vico Fallani Marco Mattiocco Fumikazu Miwakeichi Yoko Yamaguchi Pablo Martinez Serenella Salinari Andrea Tocci Hovagim Bakardjian Francois Benoit Vialatte Andrzej Cichocki Department of Informatica e Sistemistica University of Rome Rome Italy Fondazione Santa Lucia I. R. C. C. S. Eugenio Medea Rome Italy La Sapienza per l'Analisi dei Modelli e dell'Informazione nei Sistemi Biomedici Centro di Ricerca de Rome Italy Department of Medical System Engineering Faculty of Engineering Chiba University Japan Laboratory for Dynamics of Emergent Intelligence Riken Brain Science Institute Japan Laboratory for Advanced Brain Signal Processing Riken Brain Science Institute Japan

Eye movements and blinks may produce unusual voltage changes that propagates from the eyeball through the head as volume conductor up to the scalp electrodes, generating severe electroencephalographic artifacts. Several methods are now available to correct the distortion induced by these events on the EEG, having different advantages and drawbacks. The main focus of this work is to quantify the performance of the removal of EOG artifact due to the application of the independent component analysis (ICA) methodology. The precise quantification of the effects of artifact removal by ICA is possible by using a simulation setup, with a realistic head model, that it is able to mimic the occurrence of an eye blink. The electrical activity generated by the simulated eyeblink were propagated through the realistic head model and superimposed to a clean segment of EEG. Then, artifact removal was performed by using the ICA approach. Ocular artifact removal was evaluated in different operative conditions, characterized by different signal to noise ratio and number of electrodes. The error measures used were the relative error and the correlation coefficient between the clear, original EEG segment and those obtained after the application of the ICA procedure

关键词： Electroencephalography Brain modeling Independent component analysis Head Scalp signal generators Electrooculography Source separation signal resolution Laboratories

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A Graphical User Interface for Automatic Facial Texture Mapping Based on Orthogonal Photos

A Graphical User Interface for Automatic Facial Texture Mapp...

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International Conference on Multimedia Modeling (MMM)

作者： S.L. Ferradal J.C. Gomez Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Rosario Argentina Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Rosario Argentina

In this paper, a Graphical User Interface for the automatic generation of a facial texture mapping from three orthogonal photos is presented. The proposed method is based on the composition of the two side views (previously deformed) and the front view. The deformation is performed using a set of particular FDP (Facial Definition Points) of the MPEG-4 standard for multimedia applications. To smooth out the boundaries caused by the merging of the orthogonal views, a wavelet-based multiresolution filtering technique is employed. This work is the first stage in the development of a toolbox for automatic facial cloning.

关键词： Graphical user interfaces Head Cloning Humans Surface texture MPEG 4 Standard Merging Solid modeling Skin Deformable models

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ICT Tools in a signals and systems Course at the University of Rosario

ICT Tools in a Signals and Systems Course at the University ...

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IEEE Conference on Decision and Control

作者： J.C. Gomez S. Ferradal F.D. Colle Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Riobamba Rosario Argentina

In this paper, the use of Information and Communications Technologies (ICT) tools in a course on signals and systems at the University of Rosario is described. The course is now in its sixth year. The format of the course as well as the ICT resources employed as a support for the lectures and laboratories are described. The use of these new technologies has proved to increase the level of students’ participation and the students’ satisfaction rate with the course. Some ongoing projects are also presented in this paper.

关键词： Internet Java Control engineering education Laboratories Automatic control signal processing Communications technology Delay Economic forecasting History

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P31.3 On the estimation of causality between cortical spatial patterns during voluntary movements in normal subjects by using independent component analysis

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Clinical Neurophysiology 2006年 117卷 149-149页

作者： H. Bakardjian F. Babiloni A. Cichocki F. Cincotti M.G. Marciani F. De Vico Fallani F. Miwakeichi Y. Yamaguchi L. Astolfi D. Mattia Laboratory for Advanced Brain Signal Processing Riken Brain Science Institute Japan IRCCS Fondazione Santa Lucia Italy Centro di Ricerca de “La Sapienza” Italy Department of Medical System Engineering Faculty of Engineering Chiba University Japan Laboratory for Dynamics of Emergent Intelligence Riken Brain Science Institute Japan Universita’ “La Sapienza” Italy

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