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Yves Delignon - IEEE Xplore Author Profile
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Yves Delignon

Also published under: Y. Delignon

Publications
38
Citations
520
Publications by Year
19902016
Co-Authors:
Show All Co-Authors (50)
Image of author Yves Delignon

Yves Delignon

Also published under: Y. Delignon

Affiliation

Institut Mines-Télécom/Télécom Lille/CRIStAL UMR CNRS 9189, Villeneuve d'ascq, France

Publication Topics

Biography

Yves Delignon received in 1990 the M.S. degree from the Université de Technologies de Compiègne, France. He joined Telecom Bretagne, Brest, France, during the same year for preparing a Ph.D. about statistical modelling of radar images and received the Ph.D. degree from the Universite de Rennes 1, France in 1993. In 1992 he joined the engineering school Télécom Lille. From 1993 to 2003 he was assistant Professor and conducted his research in the field of the statistical radar image processing. In 2002, he received the HdR from the University of Lille 1 and since 2004 he became full Professor at Télécom Lille. Since that date, he focused his research on statistical signal processing.(Based on document published on 4 December 2015).
Publications
38
Citations
520
Publications by Year
19902016
Co-Authors:
Show All Co-Authors (50)
Author's Published Works

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A Bayesian Perspective on Multiple Source Localization in Wireless Sensor Networks

Thi Le Thu Nguyen;François Septier;Harizo Rajaona;Gareth W. Peters;Ido Nevat;Yves Delignon

IEEE Transactions on Signal Processing
Year: 2016 | Volume: 64, Issue: 7 | Journal Article |
Cited by: Papers (30)
In this paper, we address the challenging problem of multiple source localization in wireless sensor networks (WSN). We develop an efficient statistical algorithm, based on the novel application of sequential Monte Carlo (SMC) sampler methodology, that is able to deal with an unknown number of sources given quantized data obtained at the fusion center from different sensors with imperfect wireless...Show More

A Bayesian Perspective on Multiple Source Localization in Wireless Sensor Networks

Thi Le Thu Nguyen;François Septier;Harizo Rajaona;Gareth W. Peters;Ido Nevat;Yves Delignon

Year: 2016 | Volume: 64, Issue: 7 | Journal Article |

Efficient Sequential Monte-Carlo Samplers for Bayesian Inference

Thi Le Thu Nguyen;François Septier;Gareth W. Peters;Yves Delignon

IEEE Transactions on Signal Processing
Year: 2016 | Volume: 64, Issue: 5 | Journal Article |
Cited by: Papers (23)
In many problems, complex non-Gaussian and/or nonlinear models are required to accurately describe a physical system of interest. In such cases, Monte-Carlo algorithms are remarkably flexible and extremely powerful approaches to solve such inference problems. However, in the presence of a high-dimensional and/or multimodal posterior distribution, it is widely documented that standard Monte-Carlo t...Show More

Efficient Sequential Monte-Carlo Samplers for Bayesian Inference

Thi Le Thu Nguyen;François Septier;Gareth W. Peters;Yves Delignon

Year: 2016 | Volume: 64, Issue: 5 | Journal Article |

Particle filtering with a soft detection based near-optimal importance function for visual tracking

M. Oulad Ameziane;C. Garnier;Y. Delignon;E. Duflos;F. Septier

2015 23rd European Signal Processing Conference (EUSIPCO)
Year: 2015 | Conference Paper |
Particle filters are currently widely used for visual tracking. In order to improve their performance, we propose to enrich the observation model with soft detection information and to derive a near-optimal proposal to efficiently propagate particles in the state space. This information reflecting probabilities about the object location is more reliable than the usual binary output which can yield...Show More

Particle filtering with a soft detection based near-optimal importance function for visual tracking

M. Oulad Ameziane;C. Garnier;Y. Delignon;E. Duflos;F. Septier

Year: 2015 | Conference Paper |

Improving SMC sampler estimate by recycling all past simulated particles

Thi Le Thu Nguyen;Francois Septier;Gareth W. Peters;Yves Delignon

2014 IEEE Workshop on Statistical Signal Processing (SSP)
Year: 2014 | Conference Paper |
Cited by: Papers (2)
Sequential Monte Carlo (SMC) methods are not only a popular tool in the analysis of state-space models, but offer a powerful alternative to Markov chain Monte Carlo (MCMC) in situations where static Bayesian inference must be performed via simulation. In this paper, we propose a recycling scheme of all past simulated particles in the SMC sampler in order to reduce the variance of the final estimat...Show More

Improving SMC sampler estimate by recycling all past simulated particles

Thi Le Thu Nguyen;Francois Septier;Gareth W. Peters;Yves Delignon

Year: 2014 | Conference Paper |

Printer identification from micro-metric scale printing

Thong Q. Nguyen;Y. Delignon;L. Chagas;F. Septier

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2014 | Conference Paper |
Cited by: Papers (7)
Microscopic analyses of paper printing show some regularly spaced dots whose the shape depends on the technology and the tuning of the printer as well as on the paper properties. The modeling and the identification of paper and ink interactions are required for qualifying the printing quality, for controlling the printing process and also for authentication issues. In this paper, we propose to mod...Show More

Printer identification from micro-metric scale printing

Thong Q. Nguyen;Y. Delignon;L. Chagas;F. Septier

Year: 2014 | Conference Paper |

Bayesian model selection and parameter estimation in penalized regression model using SMC samplers

Thi Le Thu Nguyen;François Septier;Gareth W. Peters;Yves Delignon

21st European Signal Processing Conference (EUSIPCO 2013)
Year: 2013 | Conference Paper |
Cited by: Papers (1)
Penalized regression methods have received a great deal of attention in recent years, mostly through frequentist models using ℓ1-regularization. However, all existing works assume that the design matrix, that links the explanatory variables to the observed response, is known a priori. Unfortunately, this is often not the case and thus solving this challenging problem is of considerable interest. I...Show More

Bayesian model selection and parameter estimation in penalized regression model using SMC samplers

Thi Le Thu Nguyen;François Septier;Gareth W. Peters;Yves Delignon

Year: 2013 | Conference Paper |

Robust visual tracking via MCMC-based particle filtering

D-N. Truong Cong;F. Septier;C. Garnier;L. Khoudour;Y. Delignon

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2012 | Conference Paper |
Cited by: Papers (1)
We present in this paper a new visual tracking framework based on the MCMC-based particle algorithm. Firstly, in order to obtain a more informative likelihood, we propose to combine the color-based observation model with a detection confidence density obtained from the Histograms of Oriented Gradients (HOG) descriptor. The MCMC-based particle algorithm is then employed to estimate the posterior di...Show More

Robust visual tracking via MCMC-based particle filtering

D-N. Truong Cong;F. Septier;C. Garnier;L. Khoudour;Y. Delignon

Year: 2012 | Conference Paper |

EM-Based joint symbol and blur estimation for 2D barcode

Noura Dridi;Yves Delignon;Wadih Sawaya;Christelle Garnier

2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA)
Year: 2011 | Conference Paper |
Decoding a severely blurred 2D barcode can be considered as a special case of blind image restoration issue. In this paper, we propose an appropriate system model which includes the original image with the particularities related to barcode, the blur and the observed image. We develop an unsupervised algorithm that jointly estimates the blur and detects the symbols using the maximum likelihood (ML...Show More

EM-Based joint symbol and blur estimation for 2D barcode

Noura Dridi;Yves Delignon;Wadih Sawaya;Christelle Garnier

Year: 2011 | Conference Paper |

A comparative study of Monte-Carlo methods for multitarget tracking

François Septier;Julien Cornebise;Simon Godsill;Yves Delignon

2011 IEEE Statistical Signal Processing Workshop (SSP)
Year: 2011 | Conference Paper |
Cited by: Papers (6)
In this paper, we address the problem of tracking an unknown and time varying number of targets and their states from noisy observations available at discrete intervals of time. Attention has recently focused on the role of simulation-based approaches, including Monte Carlo methods, in solving multitarget tracking problem, as these methods are able to perform well for nonlinear and non-Gaussian da...Show More

A comparative study of Monte-Carlo methods for multitarget tracking

François Septier;Julien Cornebise;Simon Godsill;Yves Delignon

Year: 2011 | Conference Paper |

Blind Detection of Severely Blurred 1D Barcode

Noura Dridi;Yves Delignon;Wadih Sawaya;Francois Septier

2010 IEEE Global Telecommunications Conference GLOBECOM 2010
Year: 2010 | Conference Paper |
Cited by: Papers (7)
In this paper, we present a joint blind channel estimation and symbol detection for decoding a blurred and noisy 1D barcode captured image. From an information transmission point of view, we show that the channel impulse response, the noise power and the symbols can be efficiently estimated by taking into account the signal structure such as the cyclostationary property of the hidden Markov proces...Show More

Blind Detection of Severely Blurred 1D Barcode

Noura Dridi;Yves Delignon;Wadih Sawaya;Francois Septier

Year: 2010 | Conference Paper |

New algorithm for 2D barcode detection

Elmoustava Ouldbarikalla;Wadih Sawaya;Yves Delignon;Bertrand Pladeau

2009 11th International Conference on Advanced Communication Technology
Year: 2009 | Conference Paper |
In this paper we propose a new two dimensional (2D) barcode detection algorithm. This algorithm can generally be proposed for high density codes with very small projected image. This algorithm is a simplified expression of the sum product algorithm (SPA). We apply it in a joint detection and decoding structure and then we will compare it with known 2D barcode decoding technique.Show More

New algorithm for 2D barcode detection

Elmoustava Ouldbarikalla;Wadih Sawaya;Yves Delignon;Bertrand Pladeau

Year: 2009 | Volume: 03 | Conference Paper |

Monte Carlo Methods for Channel, Phase Noise, and Frequency Offset Estimation With Unknown Noise Variances in OFDM Systems

FranÇois Septier;Yves Delignon;Atika Menhaj-Rivenq;Christelle Garnier

IEEE Transactions on Signal Processing
Year: 2008 | Volume: 56, Issue: 8 | Journal Article |
Cited by: Papers (28)
In this paper, we address the problem of orthogonal frequency-division multiplexing (OFDM) channel estimation in the presence of phase noise (PHN) and carrier frequency offset (CFO). In OFDM systems, PHN and CFO cause two effects: the common phase error (CPE) and the intercarrier interference (ICI) which severely degrade the accuracy of the channel estimate. In literature, several algorithms have ...Show More

Monte Carlo Methods for Channel, Phase Noise, and Frequency Offset Estimation With Unknown Noise Variances in OFDM Systems

FranÇois Septier;Yves Delignon;Atika Menhaj-Rivenq;Christelle Garnier

Year: 2008 | Volume: 56, Issue: 8 | Journal Article |

Spatial Resolution of 1D Image-Based Barcode Reading : an Information Theoretical Approach

Karim Houni;Wadih Sawaya;Yves Delignon

2008 3rd International Symposium on Communications, Control and Signal Processing
Year: 2008 | Conference Paper |
Cited by: Papers (4)
We evaluate in this paper the minimal bar width required to recover the binary information of a barcode captured by a linear camera. After estimating the average mutual information of a 1D image-based system we show that this barcode resolution can easily be derived from the signal to noise ratio. By placing the study within the field of information theory, average mutual information defines a nov...Show More

Spatial Resolution of 1D Image-Based Barcode Reading : an Information Theoretical Approach

Karim Houni;Wadih Sawaya;Yves Delignon

Year: 2008 | Conference Paper |

Spreading Sequence Comparison for MC-CDMA Systems in a Doubly Selective Channel

Hassan El Ghazi;Maria Chennaoui;Christelle Garnier;Yves Delignon

2007 IEEE International Conference on Electro/Information Technology
Year: 2007 | Conference Paper |
Future wireless communication systems are intended to offer multimedia services to a large number of subscribers at the same time. The MC-CDMA technique has recently gained considerable attention for many future communication systems due to its ability to support high rates while ameliorating ISI and channel propagation effects. This paper investigates the performance analysis and simulation of a ...Show More

Spreading Sequence Comparison for MC-CDMA Systems in a Doubly Selective Channel

Hassan El Ghazi;Maria Chennaoui;Christelle Garnier;Yves Delignon

Year: 2007 | Conference Paper |

OFDM Channel Estimation in the Presence of Phase Noise and Frequency Offset by Particle Filtering

Francois Septier;Yves Delignon;Atika Menhaj-Rivenq;Christelle Garnier

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
Year: 2007 | Conference Paper |
Cited by: Papers (4)
In this paper, we address the problem of OFDM channel estimation in the presence of phase noise (PHN) and carrier frequency offset (CFO). For OFDM systems, PHN and CFO cause two effects: the common phase error (CPE) and the intercarrier interference (ICI) which severely degrade the accuracy of the channel estimate. In literature, several algorithms have been proposed to solve this problem. Here, w...Show More

OFDM Channel Estimation in the Presence of Phase Noise and Frequency Offset by Particle Filtering

Francois Septier;Yves Delignon;Atika Menhaj-Rivenq;Christelle Garnier

Year: 2007 | Volume: 3 | Conference Paper |

Adaptive Bit And Power-Loading For Multicast OFDM Transmissions In Rayleigh Fading Channels

Adrien Demarez;David Boulinguez;Yves Delignon

2006 3rd International Symposium on Wireless Communication Systems
Year: 2006 | Conference Paper |
Cited by: Papers (3)
Adaptive modulation techniques (bit/power- loading) allow great optimisation of spectral efficiency, power consumption and error rates in wireless multicarrier systems. However, multicast transmissions complicate their implementation as there is no longer one single channel to optimize the transmission for. In this paper, a new approach to loading for OFDM on wireless multicast systems is proposed...Show More

Adaptive Bit And Power-Loading For Multicast OFDM Transmissions In Rayleigh Fading Channels

Adrien Demarez;David Boulinguez;Yves Delignon

Year: 2006 | Conference Paper |

Particle Filter with Hybrid Importance Function for Joint Symbol Detection and Phase Tracking

Francois Septier;Yves Delignon;Atika Menhaj-Rivenq;Christelle Garnier

2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications
Year: 2006 | Conference Paper |
Cited by: Papers (2)
In digital communication, phase distortions introduced by local oscillators is one of the major concerns in designing low-cost high frequency wireless communication systems. Hence, for phase tracking and symbol detection, we propose an original algorithm which performs both phase tracking and symbol detection by a particle filtering based on the hybrid importance function. Performances of this alg...Show More

Particle Filter with Hybrid Importance Function for Joint Symbol Detection and Phase Tracking

Francois Septier;Yves Delignon;Atika Menhaj-Rivenq;Christelle Garnier

Year: 2006 | Conference Paper |

Efficient Spreading Code Allocation Strategy for a Downlink MC-CDMA System in a Time Varying Frequency Selective Channel

Hassan el Ghazi;Christelle Garnier;Yves Delignon

2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications
Year: 2006 | Conference Paper |
Cited by: Papers (3) | Patents (3)
In this paper, we investigate the impact of Walsh-Hadamard spreading code allocation on the performance of a downlink MC-CDMA system in a time varying frequency selective channel. The analysis shows that this impact is important on the multiple access interference and the inter-carrier interference power levels. We propose a code allocation strategy that minimizes the global interference power and...Show More

Efficient Spreading Code Allocation Strategy for a Downlink MC-CDMA System in a Time Varying Frequency Selective Channel

Hassan el Ghazi;Christelle Garnier;Yves Delignon

Year: 2006 | Conference Paper |

Performance analysis of adaptive modulation for fading channels

D. Boulinguez;Y. Lacour;C. Garnier;Y. Delignon;L. Clavier

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the
Year: 2003 | Conference Paper |
High data rate transmission in an indoor environment is an important issue for the next generation of wireless communications systems. For high data rate links (155 Mbits/s) a large channel around 60 GHz has been allocated world-wide for unlicensed, dense wireless local communications. However this indoor channel is a fading channel and an improved modulation technique is required to obtain such h...Show More

Performance analysis of adaptive modulation for fading channels

D. Boulinguez;Y. Lacour;C. Garnier;Y. Delignon;L. Clavier

Year: 2003 | Volume: 2 | Conference Paper |

A low complexity suboptimal MIMO receiver: the combined ZF-MLD algorithm

V. Pammer;Y. Delignon;W. Sawaya;D. Boulinguez

14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003.
Year: 2003 | Conference Paper |
Recently, wireless technologies have known an increasing success, thus becoming an interesting field for study. One of the topics of research are multiple antenna arrays. Signal recovery in that case is not obvious. Different methods with different performances have been suggested. From a statistical analysis of errors at the output of zero-forcing, we have constructed a method, which we present i...Show More

A low complexity suboptimal MIMO receiver: the combined ZF-MLD algorithm

V. Pammer;Y. Delignon;W. Sawaya;D. Boulinguez

Year: 2003 | Volume: 3 | Conference Paper |

Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields

R. Fjortoft;Y. Delignon;W. Pieczynski;M. Sigelle;F. Tupin

IEEE Transactions on Geoscience and Remote Sensing
Year: 2003 | Volume: 41, Issue: 3 | Journal Article |
Cited by: Papers (122)
Due to the enormous quantity of radar images acquired by satellites and through shuttle missions, there is an evident need for efficient automatic analysis tools. This paper describes unsupervised classification of radar images in the framework of hidden Markov models and generalized mixture estimation. Hidden Markov chain models, applied to a Hilbert-Peano scan of the image, constitute a fast and...Show More

Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields

R. Fjortoft;Y. Delignon;W. Pieczynski;M. Sigelle;F. Tupin

Year: 2003 | Volume: 41, Issue: 3 | Journal Article |

Unsupervised characterization of digital modulations

D. Boulinguez;C. Garnier;Y. Delignon;L. Clavier

6th International Conference on Signal Processing, 2002.
Year: 2002 | Conference Paper |
Cited by: Papers (1)
With the rising number of modulation types used in multi-user communication systems, we need to find efficient methods to discriminate them. Indeed, modulation recognition has become important in wireless communications for both civilian and military applications. Traditionally, to classify modulation types, most studies assume abundant a priori knowledge about modulated signals such as binary dat...Show More

Unsupervised characterization of digital modulations

D. Boulinguez;C. Garnier;Y. Delignon;L. Clavier

Year: 2002 | Volume: 2 | Conference Paper |

Performance of DS-CDMA on the 60 GHz channel

L. Clavier;M. Fryziel;C. Garnier;Y. Delignon;D. Boulinguez

The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Year: 2002 | Conference Paper |
Cited by: Papers (2)
The goal of the paper is to show that a Gaussian approximation can be used to model the global noise in a DS-CDMA system on a 60 GHz frequency band. We show that this approximation can also include the noise due to multipath and to imperfections in power control. The model can then be used as a first step and a reference when designing a communication architecture adapted to this frequency band fo...Show More

Performance of DS-CDMA on the 60 GHz channel

L. Clavier;M. Fryziel;C. Garnier;Y. Delignon;D. Boulinguez

Year: 2002 | Volume: 5 | Conference Paper |

Modeling non-Rayleigh speckle distribution in SAR images

Y. Delignon;W. Pieczynski

IEEE Transactions on Geoscience and Remote Sensing
Year: 2002 | Volume: 40, Issue: 6 | Journal Article |
Cited by: Papers (45)
In non-Rayleigh distributed radar images, the number of scatterers can be viewed as a Poisson distributed random variable, with the mean itself random. When this mean is Gamma distributed, then the image classically satisfies the K distribution. We add three new possible distributions for this mean: inverse Gamma, Beta of the first kind, and Beta of the second kind. We show that new intensity dist...Show More

Modeling non-Rayleigh speckle distribution in SAR images

Y. Delignon;W. Pieczynski

Year: 2002 | Volume: 40, Issue: 6 | Journal Article |

Multiple access for 60 GHz mobile ad hoc network

C. Garnier;L. Clavier;Y. Delignon;M. Loosvelt;D. Boulinguez

Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367)
Year: 2002 | Conference Paper |
Cited by: Papers (4)
This paper analyzes the suitability of various multiple access schemes for a 60 GHz mobile ad hoc network. The investigated techniques include multi-carrier modulation (OFDM-TDMA), the spectrum spreading method (DS-CDMA) and the combined schemes (MC-CDMA, MC-DS-CDMA) benefiting from the advantages of both techniques. The comparison between these different multiple access schemes is focussed on two...Show More

Multiple access for 60 GHz mobile ad hoc network

C. Garnier;L. Clavier;Y. Delignon;M. Loosvelt;D. Boulinguez

Year: 2002 | Volume: 3 | Conference Paper |

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