Dans cette thèse, on s'intéresse au développement de nouvelles méthodes d'auscultation GPR pour déterminer la géométrie et la structure des chaussées. Cette thèse a deux objectifs principaux. Tout d'abord, elle a pour but d'améliorer la compréhension des mécanismes de diffusion à très large bande dans un milieu stratifié composé d'interfaces rugueuses. Avec l'augmentation des fréquences d'utilisation de différents systèmes, les interfaces de chaussée ne peuvent plus être considérées comme planes. Ainsi, la rugosité des interfaces doit être prise en compte dans la modélisation de la propagation. Donc, une analyse de l'influence de cette rugosité sur l'onde rétrodiffusée a été réalisée. Elle a permis de montrer que la rugosité induit une décroissance en fréquence de l'amplitude des échos. Cette décroissance a ensuite été introduite dans le modèle du signal. Dans un second temps, plusieurs méthodes de traitement de signal ont été proposées pour estimer conjointement les paramètres de rugosité et d'épaisseur. D'abord, des méthodes multidimensionnelles ont été proposées en prenant en compte l'influence de la rugosité. Ensuite, afin de réduire la charge de calcul, des méthodes monodimensionnelles ont été proposées. Ces méthodes ont été évaluées à partir de signaux simulés. Les résultats ont montré de bonnes performances pour l'estimation des temps de retard et des paramètres de rugosité des interfaces. Enfin, les méthodes de traitement proposées dans ce manuscrit ont été testées sur des données expérimentales, qui permettent de valider les résultats théoriques et de montrer la faisabilité de la mesure de couches minces de chaussée et du paramètre de rugosité. / In this thesis, we focus on the development of new GPR methods to estimate the pavement structure. This thesis has two main objectives. First, it aims to improve the understanding of the scattering mechanisms for large-band radars in a stratified medium composed of rough interfaces. With increasing frequencies, pavement interfaces can no longer be considered as flat. The interface roughness must be taken into account in the propagation modelling. Thus, the influence of the roughness has been analysed. It has been shown that the interface roughness provides a continuous frequency decay of the magnitude of the echoes. This continuous frequency decay has then been introduced into the signal model. Secondly, several signal processing methods have been proposed to jointly estimate the roughness and thickness of pavement. Thus, multidimensional methods have been proposed by taking into account the roughness.Then, in order to reduce the computational burden, one-dimensional methods have also been proposed. From simulations, it can be seen that the proposed algorithms provide a good performance in parameter estimations (time delay, permittivity, roughness and thickness). Finally, the proposed signal processing methods are tested on experimental data. The results confirm the theoretical prediction. They show the feasibility to estimate both the thickness of thin pavements and roughness parameter.

Das IceCube Neutrino Observatory, das größte Neutrino-Observatorium der Welt, entdeckte 2013 erstmals einen Fluss hochenergetischer Neutrinos. Diese Neutrinos müssen von astrophysikalischen Beschleunigern erzeugt werden, aber ihr genauer Ursprung ist bisher unbekannt. Vorgeschlagene Neutrinoquellen sind Gezeitenkatastrophen (Tidal Disruption Events, TDEs), Ereignisse bei denen Sterne zerfallen, wenn sie supermassiven Schwarzen Löchern zu nahe kommen. In dieser Doktorarbeit wurde erstmals nach Korrelationen zwischen Neutrinos und TDEs gesucht, wobei eine Zusammenstellung veröffentlichter TDEs und ein IceCube-Datensatz von einer Million Myon-Neutrinos mit GeV-PeV-Energien von verwendet wurde. Es wurde keine signifikante Korrelation gefunden, sodass der Beitrag von TDEs ohne relativistische Jets auf 0-38,0% des gesamten astrophysikalischen Neutrinoflusses begrenzt werden kann. Der Beitrag von TDEs mit relativistischen Jets wurde auf 0-3,0% des Gesamtflusses begrenzt. IceCube veröffentlicht auch hochenergetische (>100 TeV) Myon-Neutrino-Ereignisse in Form von automatischen, öffentlichen Echtzeit-‘Neutrinoalerts’. Im Rahmen dieser Arbeit wurde die Lokalisierung von 22 solcher Neutrinoalerts mit dem optischen Zwicky Transient Facility (ZTF) Teleskop beobachtet, um nach möglichen elektromagnetischen Gegenstücken zu Neutrinos zu suchen. Mit diesem Neutrino-Nachfolgebeobachtungsprogramm wurde die helle TDE AT2019dsg als mutmaßliche Neutrinoquelle identifiziert. Die Wahrscheinlichkeit, solch eine helle TDE zufällig zu finden, beträgt 0,2%. Die Assoziation bedeutet, dass TDEs 3-100% der astrophysikalischen Neutrino-Alerts von IceCube ausmachen. Zusammengenommen deuten diese beiden Ergebnisse darauf hin, dass TDEs einen subdominanten Anteil des astrophysikalischen Neutrinoflusses bei hohen Energien emittieren. Die Assoziation des Neutrinoalerts IC191001A mit AT2019dsg ist erst das zweite Mal, dass ein hochenergetisches Neutrino mit einer mutmaßlichen astrophysikalischen Quelle in Verbindung gebracht werden konnte. / The IceCube Neutrino Observatory, the world’s largest neutrino observatory, first discovered a flux of high-energy neutrinos in 2013. These neutrinos must be produced by astrophysical accelerators, but their exact origin remains unknown. One proposed source of neutrinos are Tidal Disruption Events (TDEs), which occur when stars disintegrate after passing sufficiently close to supermassive black holes. In this thesis, the first search for neutrino-TDE correlations was performed, using a compilation of published TDEs and a dataset of one million muon neutrino events of GeV-PeV energies from IceCube. No significant correlation was found, limiting the contribution of TDEs without relativistic jets to 0-38.0% of the total astrophysical neutrino flux. The contribution of TDEs with relativistic jets was limited to 0-3.0% of the total flux. IceCube also publishes high-energy (>100 TeV) probable astrophysical muon neutrino events automatically, in the form of public realtime alerts. As part of this thesis, the location of 22 such neutrino alerts were observed by the Zwicky Transient Facility (ZTF), an optical telescope, in order to search for possible electromagnetic counterparts to neutrinos. With this neutrino follow-up program, the bright TDE AT2019dsg was identified as a probable neutrino source. The probability of finding such a bright TDE by chance is 0.2%. The association implies that TDEs contribute 3-100% of the astrophysical neutrino alerts issued by IceCube. Taken together, these two results suggest that TDEs emit a subdominant fraction of the astrophysical neutrino flux at high energies. The association of neutrino alert IC191001A with AT2019dsg represents only the second time that a high-energy neutrino has been matched to a probable astrophysical source.

Sub-endocardial fibres line the inner surface of both ventricles and are responsible for longitudinal oscillations of the mitral annulus, such oscillations may be measured using tissue Doppler echocardiography (IDE). During systole the annulus descends and during early diastole (ETDE) and atrial systole (ATDE) itascends. This thesis examined whether changes in the velocity of the annulus ineach of these phases of oscillation, measured using tissue Dopplerechocardiography (TDE), could determine the nature of increases in left ventricular size (pathological or physiological). Study one examined differences at rest in longitudinal velocities between individuals with hypertrophic cardiomyopathy (HCM), hypertension (HT), weightlifters, runners and controls, (n = 15 all groups) and all groups were aged between 20 - 36 years. The results demonstrated that both pathological groups had systolic and ETDE velocities significantly lower than groups with physiological hypertrophy (weightlifters or runners) or controls p < 0.05. AIDE however was not significantly different between groups. Additionally runners also demonstrated a significantly higher ETDE than either weightlifters or controls (p < 0.05). Binomial logistic regression identified longitudinal systolic velocity < 9 cm s" 1 and ETDE velocity < 11 cm s" 1 as the best combination of variables to predict pathological increases in heart size. Study two examined older subjects in order to determine whether the criteria set out in study one were applicable to senior athletes. The subject groups were the same as in study one however all subjects were aged between 36-55. In this case systolic annular velocity was significantly lower in groups with pathological LVH but ETDE < 9 cm s" 1 was a better differentiator. Binomial logistic regression identified ETDE < 9 cm s" 1 and a mitral E / A ratio < 1 as the best combination of variables to predict pathological LVH. Study three examined the age related changes in long axis function using the pooled data from studies one and two. This demonstrated that in the pathological LVH groups only ETDE / ATDE ratio was significantly correlated with age (r = - 0.5 p < 0.05) suggesting that there appears to be no summation of the effects of pathology and age on mitral annular velocities. The control groups demonstrated a significant age related reduction in all long axis variables (systolic velocity r = - 0.7 p < 0.05; ETDE r = - 0.6 p < 0.01; ATDE r = 0.5 p < 0.05; ETD E / ATDE r = - 0.5 p< 0.01). Weightlifters however did not demonstrate an age related decline in either systolic or diastolic annular velocities. Runners had no age related decline in systolic annular velocities, and whilst they had an age dependent fall in ETDE ( r = - 0.62 p < 0.05) the older runners ETDE were still significantly faster (p < 0.05) than that seen in control subjects. Study four investigated relationship between mitral annular velocity and VOiruK in runners, weightlifters and controls. These results demonstrated peak exercise E TDE strongly correlated to VO^PEAK (r = 0.8 p < 0.01). ConclusionsTaken together these data suggest that longitudinal velocities of the mitral annulus may be useful in determining the nature of increases in heart size, in addition the increased performance of endurance - trained athletes is due in part to functional changes of the long axis.

Informe de Seminario para optar al grado de Licenciada en Lengua y Literatura Hispánica / Planteo la metonimia del cuerpo con relación al corpus escritural, dando cuenta de una vinculación que implica la inclusión de estos dos conceptos en una sola comprensión, entendiendo sus (dis)continuidades en devenir1. Siendo la conceptualización del cuerpo anatómico-fisiológico un referente para instalar preguntas sobre la escritura que se debate en el cerco de lo inasible, ensayo. Es decir, me movilizo en lo errante, en el error constante que soslaya la objetividad e instala la puesta en abismo de mi escrito con respecto a la antinovela (neo)barroca de Sarduy De dónde son los cantantes.

Time delay estimation (TDE)-based algorithms for estimation of direction of arrival (DOA) have been most popular for use with speech signals. This is due to their simplicity and low computational requirements. Though other algorithms, like the steered response power with phase transform (SRP-PHAT), are available that perform better than TDE based algorithms, the huge computational load required for this algorithm makes it unsuitable for applications that require fast refresh rates using short frames. In addition, the estimation errors that do occur with SRP-PHAT tend to be large. This kind of performance is unsuitable for an application such as video camera steering, which is much less tolerant to large errors than it is to small errors. We propose an improved TDE-based DOA estimation algorithm called time delay selection (TIDES) based on either minimizing the weighted least squares error (MWLSE) or minimizing the time delay separation (MWTDS). In the TIDES algorithm, we consider not only the maximum likelihood (ML) TDEs for each pair of microphones, but also other secondary delays corresponding to smaller peaks in the generalized cross-correlation (GCC). From these multiple candidate delays for each microphone pair, we form all possible combinations of time delay sets. From among these we pick one set based on one of the two criteria mentioned above and perform least squares DOA estimation using the selected set of time delays. The MWLSE criterion selects that set of time delays that minimizes the least squares error. The MWTDS criterion selects that set of time delays that has minimum distance from a statistically averaged set of time delays from previously selected time delays. Both TIDES algorithms are shown to out-perform the ML-TDE algorithm in moderate signal to reverberation ratios. In fact, TIDES-MWTDS gives fewer large errors than even the SRP-PHAT algorithm, which makes it very suitable for video camera steering applications. Under small signal to reverberation ratio environments, TIDES-MWTDS breaks down, but TIDES-MWLSE is still shown to out-perform the algorithm based on ML-TDE. / Master of Science

In speech communication systems such as voice-controlled systems, hands-free mobile telephones and hearing aids, the received signals are degraded by room reverberation and background noise. This degradation can reduce the perceived quality and intelligibility of the speech, and decrease the performance of speech enhancement and source localization. These problems are difficult to solve due to the colored and nonstationary nature of the speech signals, and features of the Room Impulse Response (RIR) such as its long duration and non-minimum phase. In this dissertation, we focus on two topics of speech enhancement and speaker localization in noisy reverberant environments. A two-stage speech enhancement method is presented to suppress both early and late reverberation in noisy speech using only one microphone. It is shown that this method works well even in highly reverberant rooms. Experiments under different acoustic conditions confirm that the proposed blind method is superior in terms of reducing early and late reverberation effects and noise compared to other well known single-microphone techniques in the literature. Time Difference Of Arrival (TDOA)-based methods usually provide the most accurate source localization in adverse conditions. The key issue for these methods is to accurately estimate the TDOA using the smallest number of microphones. Two robust Time Delay Estimation (TDE) methods are proposed which use the information from only two microphones. One method is based on adaptive inverse filtering which provides superior performance even in highly reverberant and moderately noisy conditions. It also has negligible failure estimation which makes it a reliable method in realistic environments. This method has high computational complexity due to the estimation in the first stage for the first microphone. As a result, it can not be applied in time-varying environments and real-time applications. Our second method improves this problem by introducing two effective preprocessing stages for the conventional Cross Correlation (CC)-based methods. The results obtained in different noisy reverberant conditions including a real and time-varying environment demonstrate that the proposed methods are superior compared to the conventional TDE methods. / Graduate / 0544 / 0984 / saeed.mosayyebpour@gmail.com

In speech communication systems such as voice-controlled systems, hands-free mobile telephones and hearing aids, the received signals are degraded by room reverberation and background noise. This degradation can reduce the perceived quality and intelligibility of the speech, and decrease the performance of speech enhancement and source localization. These problems are difficult to solve due to the colored and nonstationary nature of the speech signals, and features of the Room Impulse Response (RIR) such as its long duration and non-minimum phase. In this dissertation, we focus on two topics of speech enhancement and speaker localization in noisy reverberant environments. A two-stage speech enhancement method is presented to suppress both early and late reverberation in noisy speech using only one microphone. It is shown that this method works well even in highly reverberant rooms. Experiments under different acoustic conditions confirm that the proposed blind method is superior in terms of reducing early and late reverberation effects and noise compared to other well known single-microphone techniques in the literature. Time Difference Of Arrival (TDOA)-based methods usually provide the most accurate source localization in adverse conditions. The key issue for these methods is to accurately estimate the TDOA using the smallest number of microphones. Two robust Time Delay Estimation (TDE) methods are proposed which use the information from only two microphones. One method is based on adaptive inverse filtering which provides superior performance even in highly reverberant and moderately noisy conditions. It also has negligible failure estimation which makes it a reliable method in realistic environments. This method has high computational complexity due to the estimation in the first stage for the first microphone. As a result, it can not be applied in time-varying environments and real-time applications. Our second method improves this problem by introducing two effective preprocessing stages for the conventional Cross Correlation (CC)-based methods. The results obtained in different noisy reverberant conditions including a real and time-varying environment demonstrate that the proposed methods are superior compared to the conventional TDE methods. / Graduate / 2015-04-23 / 0544 / 0984 / saeed.mosayyebpour@gmail.com

This master's thesis is focused on localization static (entering semester project) and moving acoustic sources (entering master's thesis) by the help of microphonic arrays. In the first part deal with common problems of localization. Further are here described types of microphonic arrays, simplifying possibilities which delimited this problems and general information about room acoustics. In the next part of this master's thesis are step by step mentioned methods localization of acoustic sources. In practical part were used algorithms: Steered-Beamformer-Based Locators and TDOA-Based Locators. Last part of this master's work includes results of these algorithms.