Cette étude porte sur trois problématiques reliées à l’utilisation du son multicanal 3D dans le contexte des applications Audio Professionnelles. Le système SIRIUS est présenté. Il s’agit d’une technique de transport du son multicanal qui répond aux contraintes de Fiabilité, Synchronisation et Latence des applications professionnelles et garantie un compromis entre ces différents aspects. Le système peut fonctionner sur les infrastructures LAN classiques et coexister avec d’autres types de trafic réseau. Il est aussi basé sur une couche protocolaire n’utilisant que des protocoles standards, ce qui lui procure un certain niveau d’interopérabilité avec des technologies équivalentes. La seconde contribution est la méthodologie AQUA. Il s’agit d’une nouvelle approche pour l’évaluation de la qualité du son multicanal qui propose des outils efficaces pour l’analyse subjective et objective de la qualité. La partie subjective consiste en un nouveau protocol pour les tests d’écoute qui combine l’analyse de l’information perceptive et spatiale. La précision de la localisation est évaluée grâce au suivi des gestes des auditeurs. Notre méthode, basée sur l’utilisation de la Kinect, permet d’obtenir cette information d’une façon rapide et précise. Le protocole utilise notamment l’analyse EEG pour étudier les biais psychologiques et filtrer efficacement les sujets. La partie objective repose sur un moteur binaural qui convertit le flux multicanal en un flux stereo binaural plus simple à analyser et qui préserve l’information spatiale. Le signal audio résultant est analysé par un modèle perceptif et un modèle spatial qui permettent d’estimer une représentation interne équivalente. Les variables la constituant alimentent ensuite un Réseau de Neurones Artificiel qui permet d’obtenir une note objective de qualité. Parallèlement, le modèle psychologique simule le comportement humain en ajustant la note en fonction des notes précédentes. Les performances obtenues montrent que le système peut être utilisé pour prédire la qualité perceptive et spatiale du son multicanal avec un grand niveau de précision et de réalisme. Le dernier axe d’étude porte sur l’optimisation de la qualité d’écoute dans les systèmes audio surround. Etant donné leur problème de Sweet Spot, et la complexité des systèmes suggérant de l’élargir, on propose une technique basée sur le suivi de la position réelle des auditeurs. Le suivi est réalisé d’une façon non-intrusive par l’analyse d’images thermiques. Les canaux audio initiaux sont considérés comme des sources virtuelles et sont re-mixés par VBAP pour simuler leur déplacement vers l’auditeur. Les performances obtenues montrent un suivi efficace et une amélioration de l’expérience d’écoute. / In this work, three complementary topics regarding the use of multichannel spatial audio in professional applications have b e en studied. SIRIUS, is an audio transport mechanism designed to convey multiple professional-grade audio channels over a regular LAN while maintaining their synchronization. The system reliability is guaranteed by using a FEC mechanism and a selective redundancy, without introducing any important network overload. The system also offers a low latency that meet the professional applications requirements and can operate on the existing infrastructures and coexist with other IT traffic. The system relies on standard protocols and offers a high level of interoperability with equivalent technologies. The overall performances satisfy Pro Audio requirements. The second contribution is AQUA, a comprehensive framework for multichannel audio quality assessment that provides efficient tools for both subjective and objective quality evaluation. The subjective part consists of a new design of reliable listening tests for multichannel sound that analyze both perceptual and spatial information. Audio localization accuracy is reliably evaluated using our gesture-based protocol build around the Kinect. Additionally, this protocol relies on EEG signals analysis for psychological biases monitoring and efficient subjects screening. The objective method uses a binaural model to down-mix the multichannel audio signal into a 2-channels binaural mix that maintains the spatial cues and provides a simple and scalable analysis. The binaural stream is processed by a perceptual and spatial models that calculate relevant cues. Their combination is equivalent to the internal representation and allows the cognitive model to estimate an objective quality grade. In parallel, the psychological model simulate the human behavior by adjusting the output grades according to the previous ones (i.e., the experience effect). The overall performance shows that AQUA model can accurately predict the perceptual and spatial quality of a multichannel audio in a very realistic manner. The third focus of the study is to optimize the listening experience in surround sound systems (OPTIMUS). Considering the sweet spot issue in these systems and the complexity of its widening, we introduce a tracking technique that virtually moves the sweet spot location to the actual position of listener(s). Our approach is non-intrusive and uses thermal imaging for listeners identification and tracking. The original channels are considered as virtual sources and remixed using the VBAP technique. Accordingly, the audio system virtually follows the listener actual position. For home-cinema application, the kinect can be used for the tracking part and the audio adjustment can be done using HRTFs and cross-talk cancellation filters. The system shows an improvement of the localization accuracy and the quality of the listening experience.

Establishing a definitive cell cycle progression has been one of the fundamental aims of cellular biology. Its importance lies in gaining insight into the basic processes of life as well as the functions of mutant cell cycle pathways in promoting cancer by replication deficiencies and loss of checkpoint control. Currently used methods to control cell cycle and synchronize cells, function by halting cell cycle progression. Such harsh methods are detrimental to the cell and insufficient to provide an accurate reflection of the cell cycle. This study focused on replicating and confirming the efficiency of a technique developed by Helmstetter, called the “Baby Machine,” that can produce new born cells with little to no perturbations. Using this in conjunction with a short pulse RNA labelling technique, called Bru-seq, allowed the capture and RNA sequencing of synchronized cells and its nascent RNA. Here we show the first glimpse into the transcriptional profile of newly divided cells as well as novel rapid exon splicing and transcription read-through processes.

Ultra high frequency (UHF) radio frequency identification (RFID) systems suffer from issues that limit their widespread deployment and limit the number of applications where they can be used. These limitations are: lack of a well defined read zone, interference, and environment sensitivity. To overcome these limitations a novel receiver device is introduced into the system. The use of such device or devices mitigates the issues by enabling more "anchor points" in the system. Two such devices exist in industry and academia: the Astraion Sensatag and the Gen2 Listener. The drawbacks of the Sensatag is that it offers poor performance in capturing tag signals. The Gen2 Listener is based on the expensive software defined radio hardware. The purpose of the thesis was to develop a receiver that will enable several new RFID applications that are not available with current RFID systems. The receiver, named ARR (Augmented RFID Receiver), receives tag and reader signals, which are decoded by an FPGA and the results are reported through Ethernet. This device is central to the augmented RFID system. To show the suitability of such an approach, the performance of the implementation was compared to the other two outlined solutions. A comparison of the read rate and range of the implementations were the defining factors. The analysis showed that the ARR is capable of receiving tag signals with a read rate of 50% for passive and 66% for semi-passive tags at a one meter distance and is capable of receiving tag signals at a maximum of 3.25 meters for passive and 5.5 meters for semi- passive tags, with the reader being within 8 meters of the ARR. Two applications were implemented to showcase the ARR: an RFID portal and protocol analyzer.

I present a time synchronization algorithm for wireless sensor networks that aims to conserve sensor battery power. The proposed method creates a hierarchical tree by flooding the sensor network from a designated source point. It then uses a hybrid algorithm derived from the timing-sync protocol for sensor networks (TSPN) and the reference broadcast synchronization method (RBS) to periodically synchronize sensor clocks by minimizing energy consumption. In multi-hop ad-hoc networks, a depleted sensor will drop information from all other sensors that route data through it, decreasing the physical area being monitored by the network. The proposed method uses several techniques and thresholds to maintain network connectivity. A new root sensor is chosen when the current one's battery power decreases to a designated value. I implement this new synchronization technique using Matlab and show that it can provide significant power savings over both TPSN and RBS.

Orientadores: Alberto Vazquez Saa, Marcus Aloizio Martinez de Aguiar / Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Física Gleb Wataghin / Made available in DSpace on 2018-08-28T03:40:49Z (GMT). No. of bitstreams: 1 Pinto_RafaelSoares_D.pdf: 7979471 bytes, checksum: b344e1e01031709b8b938dbecb572900 (MD5) Previous issue date: 2015 / Resumo: Sincronização está presente em uma miríade de situações, indo desde vaga-lumes piscando em uníssono na copa das árvores, populações de leveduras ajustando seu metabolismo para um ritmo comum, atividades neurais ocorrendo no cérebro, chegando até as redes de distribuição de energia elétrica, as maiores máquinas construídas pelo homem. Neste trabalho, nós analisamos como se dá o processo de sincronização utilizando o bem conhecido modelo de Kuramoto, estudado incansavelmente nas últimas décadas, quando ele se encontra sobre uma rede complexa, que determina os padrões de interação entre os elementos que compõem a população. A topologia dessas interações determina de maneira crucial a dinâmica do sistema, possibilitando, ou não, a sincronização dos seus elementos. Primeiros, nós analisamos o fenômeno da sincronização explosiva: a correlação de propriedades da rede com a frequência natural dos osciladores altera dramaticamente a natureza da transição de fase do estado não sincronizado para o estado sincronizado. Mostramos que sincronização explosiva ocorre mesmo quando apenas uma pequena fração dos vértices da rede possuem tal correlação, a saber, os vértices mais bem conectados da rede. Além do mais, ajustando o número de vértices onde a correlação é válida, podemos controlar propriedades dessa transição de fase. A seguir estudamos o processo de optimização de topologia para favorecer sincronização. Dado um conjunto de vértices/osciladores com frequências naturais conhecidas e um certo número de links, qual é a melhor topologia, ou seja, o padrão de conexões, que favorece a sincronização? Estudamos esse problema numericamente para o modelo de Kuramoto com inércia, que serve como um modelo simples para analisar as redes de transmissão de energia elétrica, obtendo princípios básicos que devem ser utilizados para o design de tais sistemas. Por fim, ainda no problema de optimização de topologia para favorecer sincronização, obtivemos pela primeira vez de forma analítica as condições para optimização para o modelo de Kuramoto, bem como para uma generalização sua, onde há interações positivas e negativas. Esses resultados analíticos ainda servem para criar algoritmos de optimização mais ecientes que os utilizados atualmente / Abstract: Synchronization is present in a myriad of situations, from the unison ashing of reies in trees, populations of yeast adjusting their metabolism to a common rhythm, neural activities in the brain to the largest machines ever built, the power grids. We analysed how the process of synchronization happens using the well known Kuramoto model, tirelessly studied in the last decades, when it is on top of a complex network, that determines the patterns of interaction between the elements of the population. The topology of this network's determines crucially the possible dynamics of the systems, allowing, or not, the synchronization of its elements. We rst discuss the phenomenon of explosive synchronization, where the correlation between properties of the network and the oscillators changes drastically the nature of the phase transition separating the incoherent state from the synchronized state.We show that explosive synchronization can occur even when a small subset of the vertices are correlated. It is necessary that only the hubs, vertices with highest degrees, show the correlation. Moreover, adjust the fraction of correlated vertices allows us to control properties of the phase transition. Next we study the optimization of the topology to favor synchronization. Given a set of vertices/oscillators with know natural frequencies and a certain number of links, which is the best topology, its pattern of interactions, to favor synchronization? We studied this problem to a generalized Kuramoto model (Kuramoto model with inertia) that is used as a simple tool to model power grids, obtaining in this way simple rules that can be applied to the design of such systems that already helps the synchronization of its elements. In our nal contribution, still in the optimization of the topology problem, we were able, for the first time, to obtain analytically the conditions of optimization for the Kuramoto model, as well as for one of its generalizations, where there can exist positive and negative interactions between the elements. Beyond the signicant fact that the conditions can be know analytically, these results can be used to obtain faster optimization algorithms that the current ones / Doutorado / Física / Doutor em Ciências / 2012/09357-9 / CAPES

abstract: Previous literature on synchronization to music using finger tapping tasks in a laboratory or otherwise controlled setting has led to some invaluable, albeit dated, theories about time and synchronization. In an effort to modernize some of the approaches utilized in research on music synchronization, this study applies established theories of music entrainment to a fieldwork study. Specifically, this study focuses on the extent to which participants of Capoeira, a Brazilian martial art disguised as a dance, synchronize to external timekeepers by analyzing icti in several types of movements and comparing them to musical rhythmic beats. Sports psychology studies have shown that the presence of music can have involuntary effects on exercise. For example, walkers and runners will spontaneously synchronize gait to auditory signals. However, runners do not normally focus on choreology, acrobatics, and environmental stimuli while exercising. This study contributes to this field of research by adding observations and analyzing degrees of synchronization in a martial art, which may be more cognitively demanding than running. In Capoeira, participants are still expected to attend to music. The degree of synchronization that occurs in a Capoeira class can then be compared with synchronization in martial arts that have music solely as a background component. These future studies would be analyzing music entrainment in real-life environments with physical activities that are more cognitively complex than running. Moreover, these future studies can help to confirm or challenge current theories of attention and music entrainment and synchronization. / Dissertation/Thesis / Masters Thesis Music 2020

La découverte de la magnétorésistance géante en 1988 est considérée comme la date de naissance d’un nouveau et dynamique champ de recherche appelé l’électronique de spin. La riche physique associée au transport de spin devrait révolutionner le futur de la nanoélectronique. Dans ce cadre les nano-oscillateurs à transfert de spin (STOs) se sont positionnés comme des candidats sérieux pour le développement d’une nouvelle génération de dispositifs rf basés sur l’électronique de spin.Au début de ma thèse, l’important bruit de phase des STOs restait une contrainte majeure limitant les perspectives technologiques à ce type d’oscillateurs. Dans cette thèse nous avons cherché à contrôler la dynamique des STOs et à réduire leur bruit phase en développant différentes stratégies : (i) l’optimisation des propriétés des matériaux magnétiques utilisés (ii) l’excitation de modes couplés dans des systèmes hybridés (iii) la stabilisation de la dynamique de la phase d’un STO avec un signal extérieur de référence (iv) la synchronisation mutuelle de différents oscillateurs pour améliorer la cohérence spectrale et la puissance des STOs. Nous focalisons en particulier sur le cas de STO à base de vortex magnétique qui présentent intrinsèquement des cohérences spectrales plus élevées que celles d’autres types d’oscillateurs.Dans une première partie, nous nous proposons d’identifier et d’étudier les différents mécanismes qui régissent et contrôle la dynamique d’un STO à base de vortex magnétique dans les régimes auto-oscillant et non-autonomes. Nous mettons tout d’abord en évidence que l’excitation de modes couplés permet de contrôler les propriétés rf d’un oscillateur unique en prenant l’exemple d’un STO à base de deux vortex magnétiques couplés. Par la suite, nous étudions la synchronisation « parfaite » de ces STOs à base de vortex avec un courant rf de référence. Nous corrélons l’observation d’une largeur de raie d’un hertz et d’un bruit de phase minimum de -90 dBc/Hz à 1kHz de la porteuse dans l’état synchronisé à une absence de glissement de phase, i.e. à l’absence de phénomène de désynchronisation. Le fort couple de Field-like planaire mesuré dans ces STOs représente un outil précieux pour contrôler le processus de synchronisation. Dans le cas des STOs à double vortex, un tel contrôle nous permet d’observer des phénomènes physiques exotiques allant de la synchronisation simultanée de plusieurs modes, à de l’auto-synchronisation en passant par des dynamiques de synchronisation incohérentes.Dans une seconde partie, nous proposons différents concepts innovants de dispositifs rf à base de vortex magnétique. Nous présentons tout d’abord les bases d’une boucle à retard de phase permettant d’asservir un STO. En prenant avantage du fort couple de Field Like, nous développons un nouveau schéma de détection rf, plus efficace que les actuelles diodes Schottky, basé sur un renversement d’aimantation en expulsant réversiblement le cœur de vortex à l’aide d’un courant rf. Finalement, nous démontrons qu’il est possible de synchroniser électriquement deux STOs connectés directement en parallèle ou en série, ou à l’aide d’une ligne à retard. Nous montrons ainsi qu’une forte amélioration de la cohérence spectrale (d’un facteur 2) et de la puissance (d’un facteur 4 pour un maximum de 1.6 μW) peut être obtenues dans l’état synchronisé. A l’aide de la ligne à retard, nous mettons par ailleurs en évidence le rôle crucial du déphasage entre les deux STOs sur les propriétés de l’état synchronisé. Ces résultats prometteurs ouvrent la voie vers la synchronisation de réseaux de STOs sans champ appliqué et sans ligne à retard entre les oscillateurs.Dix ans après leur découverte, les oscillateurs à transfert de spin n’ont toujours pas dévoilé tout leur potentiel et de nouvelles applications sont maintenant envisagées, allant de dispositif rf classiques à des circuits logiques et dispositifs bio-inspirés basés sur les STOs. / The discovery of the giant magnetoresistance in 1988 is considered as the birth date of a new and dynamic research field called spintronics. The rich physics associated with spin transport has created a breakthrough for the future of nano-electronics. In the magnetism roadmap, spin-torque oscillators (STOs) are candidates for future generation of spintronic based rf-devices.At the beginning of this thesis, one major issue of spin-torque oscillators remained their poor spectral coherence. To overcome this issue, we have investigated different approaches: (i) the development of magnetic materials with a low damping and large spin-polarization, (ii) the study of collective mode dynamics in hybridized magnetic systems (iii) the stabilization of the STO dynamics with a reference external signal (iv) the synchronization of multiple STOs to enhance both their power and spectral coherence. We focus our work on vortex based STOs which present higher spectral coherences than other kinds of STOs.In a first part, we study the different mechanisms that can drive and stabilize the dynamics of a vortex based STO in the autonomous and non-autonomous regimes. We first highlight that the excitation of collective modes allows the harnessing the rf-properties of a single and isolated in a double vortex based STO. Then we report the ``perfect'' phase-locking of a STO with an external rf-current. To go beyond this analysis, we notice that a 1 Hz minimum linewidth and a flat phase noise level of -90 dBc/Hz at 1 kHz from the offset frequency in the locked state could be associated with the absence of phase slips, i.e desynchronization events. We demonstrate that the locking process is driven by a Field-like in-plane torque which gives the possibility to control with precision the STO locking process. In our double vortex based STO, we can even observe exotic behaviors such as multi-mode synchronization, self-resonance and eventually incoherent motion. Such a degree of control, unexpected for a nano-scale oscillator, is particularly promising for the development of STO based nanodevices.In a second part, we propose different concepts of spintronic rf-devices based on vortex STOs. We describe the basis of an on-chip STO based phase locked loop. By taking advantage of the large Field-like torque in our STOs, we develop a new radio-frequency detection scheme, more efficient than the state of the art Schottky diode, based on magnetization switching through the resonant and reversible expulsion of the vortex core. Finally, we show the first experimental observation of the electrical synchronization of two STOs connected directly in parallel or in series, or with an electrical delay line. In the synchronized state, we show a strong improvement of both the spectral coherence (by a factor 2) and the output power (by a factor 4, up to 1.6 μW). We also demonstrate, with an electrical delay line, the strong impact of the phase shift between the two STOs on the synchronized regime. These promising results open the way for the synchronization of STO arrays at zero field and without electrical delays.Ten years after their discovery, spin-torque oscillators have thus not yet revealed all their potential and promising applications could be soon targeted, in order to realize a spin logic circuit, bio-inspired spintronic devices and more classical rf-applications.

Wireless communication systems utilize the wireless medium to perform over-the-air (OTA) data transfer. There are many factors that can impact the quality of wireless communications, such as medium imperfection, interfering environment, mismatch of transceivers, etc. To mitigate these problems and improve the quality of service (QoS), this research study is conducted on three important topics including synchronization techniques, impairment estimation theory and techniques, and interference alignment techniques. In this thesis, it firstly present a dual link algorithm to align and manage the interference of multiple-input and multiple-output (MIMO) networks. A field-programmable gate array (FPGA) prototype is designed for software defined radio (SDR) platforms. As one of the key components, a hardware efficient architecture is proposed for the implementation of singular value decomposition (SVD). Secondly, it proposes a maximum-likelihood (ML) based synchronization approach for carrier frequency synchronization for MIMO systems. The algorithm is also implemented on FPGA for real-time performance evaluation. Finally, as an exemplary study of machine learning techniques for wireless communications, a neural network (NN) based estimator is proposed to perform coarse frequency offset estimations for MIMO systems. The proposed NN based estimator can accommodate various channel models and the results show promising performance in terms of accuracy and estimation range. In summary, this thesis provides a comprehensive study on interference alignment, carrier synchronization, and impairment estimation using different approaches. Efficient hardware implementations for the key algorithms are also presented.

Thesis: M.S., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 1976 / Bibliography: p.110. / by Charles E. Manush, III. / M.S. / M.S. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics

Kerr frequency combs enable compact and robust platforms for applications such as data communications and spectroscopy. Initial demonstrations used dissipative soliton combs operating in the anomalous group velocity dispersion (GVD) regime to illustrate the promising capabilities of Kerr-comb-based technologies. However, many real-world applications, such as wavelength division multiplexing and LiDAR, benefit from higher comb-line powers that are inherently inaccessible to Kerr frequency combs. Nevertheless, nonsolitonic Kerr combs operating in the normal GVD regime offer promise as a platform for the integration of such applications due to their ability to easily access high pump-to-comb conversion efficiencies and spectral profiles with slower power falloffs. Unlike a dissipative Kerr soliton which is a single cycle periodic pattern on top of a homogenous background, a nonsolitonic Kerr comb arises through the interlocking of two switching waves of opposite polarity, each of which connects the two homogenous state solutions of the bistable cavity response. Here, we present a systematic approach for turn-key generation of Kerr combs in the normal GVD regime. We use a coupled ring geometry to induce and control avoided mode crossings for the generation of low-noise frequency combs with conversion efficiencies of up to 57%. Moreover, we explore the regime of synchronization for these nonsolitonic Kerr combs. Synchronization is a universal mechanism of coupled nonlinear oscillators that manifests itself as the spontaneous appearance of order within nature's tendency for disorder and chaos. It is a process by which the natural rhythms of interacting oscillators adjust to a common frequency and produce a mutually phase-locked state. In the realm of Kerr frequency combs, synchronization allows for the repetition rates, or equivalently the comb-line spacings, of individual Kerr combs to become identical. We reveal the universality of Kerr comb synchronization by synchronizing two nonsolitonic Kerr combs and thereby extending the scope of synchronization beyond the soliton regime. Furthermore, we introduce a method to overcome the inherently low output power of Kerr combs while maintaining the high conversion efficiency of a normal GVD Kerr comb. We demonstrate efficient comb-line power enhancement by coherently combining two nonsolitonic Kerr combs via on-chip synchronization. Our on-chip synchronization design removes the requirement for dispersion compensation of the coupling signal while increasing the overall stability of the system. Our techniques of comb generation, synchronization, and coherent combining enable nonsolitonic Kerr combs as a platform to achieve a fully integrated, high-power Kerr comb source.