logo EDITE Patrick GARDA
Identité
Patrick GARDA
État académique
Thèse soutenue le 1984-07-06
Titulaire d'une HDR (ou équivalent) 1992-02-06
Laboratoire: personnel permanent
Direction de thèses (depuis 2007)
0.5
Propositions de sujets de thèse
Voisinage
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
oai:hal.archives-ouvertes.fr:hal-00665334
ENDOCOM: Implantable wireless pressure sensor for the follow-up of abdominal aortic aneurysm stented
IRBM (Ingénierie et Recherche Biomédicale / BioMedical Engeneering and Research), Vol. 32, No. 3, pp. 163 - 168 2011-06
edite:133279232864
A Self-Sufficient Digitally Controlled Ring Oscillator Compensated for Supply Voltage Variation
The IEEE International Conference on Electronics, Circuits, and Systems (ICECS), Beirut, Liban 2011
edite:133279233282
An Analytical Model Of The Oscillation Period For Tri-State Inverter Based DCO
The IEEE International Conference on Microelectronics (ICM), Hammamet, Tunisie 2011
edite:1332792378241
Intégration des modèles Markoviens aux codeurs vidéo MPEG4/H264: Développement et portage sur des systèmes embarqués à base de DSP/FPGA.
Editions universitaires europeennes 2011
978 953 307 181 7
Recent Advances on Video Coding
MJPEG2000 performances improvement by Markov models, intech 2011
978 1 61284 899 0
RFID implantable pressure sensor for the follow-up of abdominal aortic aneurysm stented
An abdominal aortic aneurysm (AAA) is a dilatation of the aorta at the abdominal level, the rupture of which is a life threatening complication with an 80% mortality rate. Even though those devices keep improving, the failure rate of the endovascular treatment is due to persisting pressure into the excluded aneurysmal sac. Since 2005, several integrated sensors have been designed for the follow-up of the AAA treated by a stent. Solutions are based on the use of a single sensor. Thrombus in the excluded AAA can modify the field of pressure when leaks appeared and a network of sensors should be used. We present in this paper the ENDOCOM project that aims to design an implantable pressure sensor that can be used in a network configuration. To validate the new materials, we developed a framework composed of in vitro experiments and in vivo tests on large animal model. Numerical modeling has been investigated from the experimental data to determine the optimal position of sensor. Some results of those different parts are shown in this paper.
International Conference on Design & Technology of Integrated Systems in Nanoscale Era (DTIS), 2011 2011
edite:1332792454607
Empirical Method Based on Neural Networks for Analog Power Modeling
We introduce an empirical method for power consumption modeling of analog components at system level. The principal step of this method uses neural networks to approximate the mathematical curve of the power consumption as a function of the inputs and parameters of the analog component. For a node of a wireless sensors network, we found an average error of 1.53% with a maximum error of 3.06% between our estimation and the measured power consumption. This novel method is suitable for Platform-Based Design and has three key features for architecture exploration purposes. Firstly, the method is generic as it can be applied to any analog component in any modeling and simulation environment. Secondly, the method is suitable for the total (analog and digital) power consumption estimation of a heterogeneous system. Thirdly, the method provides an online estimation of the instantaneous power consumption of analog blocks.
Vol. 29, No. 5, pp. 839-844 2010
edite:1332792472699
Markov-MJPEG2000 pour la surveillance vidéo sur des réseaux de capteurs sans fils
Vol. 27, No. 6 2010
978 1 4244 6338 1
Temperature and Supply Voltage Aware Power Modeling of Analog Functions at System Level
Nowadays a system level estimation method of power consumption for heterogeneous systems is a major concern. In this article, we introduce an empirical method for power consumption modeling of analog components at system level. The principal step of this method uses neural networks to approximate the mathematical curve of the power consumption as a function of the inputs, supply voltage and ambient temperature of an analog component. For an amplifier, we found an average error of 4.72% between our high level estimation and PSPICE power consumption results. This novel method is suitable for IP-based design and has three key features. Firstly, the method provides an online estimation of the instantaneous power consumption of analog blocks. Secondly, the method is generic as it can be applied to any analog component in any modeling and simulation environment. Thirdly, the method is suitable for the total (analog and digital) power consumption estimation of a heterogeneous system.
DTIS: IEEE International Conference on Design & Test of Integrated Systems in Nanoscale Technology, Hammamet, Tunisia 2010
edite:1332792524961
Accelerating the multiple reference frames compensation in the H.264 video coder
Vol. 4, No. 1 2009
978 2 912328 55 7
Case study analysis of linear Chirp and Multitones (OFDM) radar signals through simulations and measurement with HYCAM-Research test bench
This paper presents a experimental platform that allows comparing objectively any radar waveforms. This is realized by equating
International Conference on Radar, RADAR 2009, Bordeaux, France 2009