Long-term omni-directional ambient noise was collected at several sites in the Gulf of Mexico during 2004 and 2005. The Naval Oceanographic Office deployed bottom moored Environmental Acoustic Recording System (EARS) buoys approximately 159 nautical miles south of Panama City, Florida, in water depths of 3200 meters. The hydrophone of each buoy was 265 meters above the bottom. The data duration ranged from 10-14 months. The buoys were located near a major shipping lane, with an estimated 1.5 to 4.5 ships per day passing nearby. The data were sampled at 2500 Hz and have a bandwidth of 10-1000 Hz. Data are processed in eight 1/3-octave frequency bands, centered from 25 to 950 Hz, and monthly values of the following statistical quantities are computed from the resulting eight time series of noise spectral level: mean, median, standard deviation, skewness, kurtosis and coherence time. Four hurricanes were recorded during the summer of 2004 and they have a major impact on all of the noise statistics. Noise levels at higher frequencies (400-950 Hz) peak during extremely windy months (summer hurricanes and winter storms). Standard deviation is least in the region 100-200 Hz but increases at higher frequencies, especially during periods of high wind variability (summer hurricanes). Skewness is positive from 25-400 Hz and negative from 630-950 Hz. Skewness and kurtosis are greatest near 100 Hz. Coherence time is low in shipping bands and high in weather bands, and it peaks during hurricanes. The noise coherence is also analyzed. The 14-month time series in each 1/3- octave band is highly correlated with other 1/3-octave band time series ranging from 2 octaves below to 2 octaves above the band's center frequency. Spatial coherence between hydrophones is also analyzed for hydrophone separations of 2.29, 2.56 and 4.84 km over a 10-month period. The noise field is highly coherent out to the maximum distance studied, 4.84 km. Additionally, fluctuations of each time series are analyzed to determine time scales of greatest variability. The 14-month data show clearly that variability occurs primarily over three time scales: 7-22 hours (shipping-related), 56-282 hours (2-12 days, weather-related) and over an 8-12 month period.

Bioimpedance spectroscopy is very useful in biomedical field as a safe and non-invasive technique. A stable and safe excitation current below than 0.5 mA for load impedances changing from 100 Ω to 10 kΩ in the full β-dispersion range from kHz up to 1 MHz is a big challenge for the design of the current source addressed by this thesis. For a good stability and high accuracy, the source should have a high output impedance. Different current source types in “current-mode approach” and “voltage-mode approach” were investigated and compared for usability in bioimpedance measurement systems. The “voltage-mode approach” with grounded load was proven to be more suitable and stable for biomedical measurements. Thereby the Tietze and the Howland circuit in dual configuration with negative feedback have shown the lowest error of the output current and the highest output impedance, where the improved Howland circuit in dual configuration with negative feedback is preferred because it has a simple structure, high accuracy and good stability. We suggest to improve the stability of the Howland circuit in dual configuration with negative feedback by introducing compensated operational amplifiers and to reduce stray capacitances at higher frequencies by adding gain compensation capacitor. We reach thereby an accuracy of 0.5% at low frequency and 0.9% at 1 MHz. With the realized accuracy of the designed voltage controlled current source, one decisive prerequisite for portable bioimpedance measurement system is achieved. In order to select the appropriate excitation signals for short measurement time, a comparative study of signals and their parameters was carried out. It leads to the selection of binary chirp signal as a suitable excitation signal due to its short measurement time about 100 μs, low crest factor lower than 2.8 and an energy efficiency higher than 54% in a very noisy signal. Simulation results show that the designed enhanced Howland current source excited by the binary chirp signal has low error and flatness in the whole range. / Die Bioimpedanzspektroskopie gewinnt aufgrund ihrer besonderen Eigenschaften als nicht-invasive, schonende Messmethode zunehmend an Bedeutung im biomedizinischen Bereich. Dabei ergeben sich besondere erausforderungen für den Entwurf der Stromquelle zur Realisierung eines stabilen und sicheren Anregungsstroms. Gefordert ist eine hohe Genauigkeit bis zu einem Maximalstrom von 0.5 mA in einem Frequenzbereich, der der β-Dispersion entspricht, von wenigen kHz bis hin zu 1 MHz. Die Stabilität muss bei variablen Lastimpedanzen im Bereich von 100 Ω bis 10 kΩ gewährleistet sein. Dafür muss die Stromquelle eine hohe Ausgangsimpedanz aufweisen. Diese Arbeit fokussiert auf den Entwurf von spannungsgesteuerten Stromquellen. Verschiedene Arten von Stromquellen wurden untersucht und verglichen. Der "Voltage-Modus-Ansatz" mit Masse-referenzierter Last hat sich als besser geeignet und stabiler für biomedizinische Messungen erwiesen. Die Tietze-Schaltung und diese Howland-Schaltung zeigen dabei die niedrigsten Fehler des Ausgangsstroms und die höchste Ausgangsimpedanz. Im direkten Vergleich besitzt die verbesserte Howland-Schaltung doch eine einfachere Struktur, höhere Genauigkeit und bessere Stabilität und wird daher gegenüber der Tietze-Schaltung bevorzugt. Um weitere Stabilitätsverbesserungen bei der Howland-Schaltung zu erreichen, werden zwei Maβnahmen vorgeschlagen. Zum einen werden kompensierte Operationsverstärker eingeführt und zum anderen wird der Einfluss von Streukapazitäten bei hohen Frequenzen minimiert indem die Verstärkung mit Kondensatoren kompensiert wird. Durch diese Maβnahmen wird eine Genauigkeit von 0.5% bei niedrigen Frequenzen und 0.9% bei 1 MHz ermöglicht. Mit dem neuen Entwurf der spannungsgesteuerten Stromquelle ist ein entscheidender Meilenstein für die Realisierung tragbarer Messsysteme der Bioimpedanz erreicht. Um eine kurze Messzeit zu realisieren wurde eine vergleichende Studie von Anregungssignalen und deren Signalparameter durchgeführt. Die Ergebnisse zeigen, dass binäre Chirp-Signale aufgrund der reduzierten Messzeit, des niedrigen Crest-Faktors unter 2.8 und hohe Energieeffizienz von mehr als 54% bei hohem Rauschlevel besonders geeignet sind. Simulationsergebnisse zeigen, dass die entwickelte Howland-Stromquelle zusammen mit einem binären Mehrfrequenzsignal den geringsten Amplitudenfehler im gesamten Frequenzbereich realisiert.

Ce travail de thèse s’articule autour de la problématique du respect des gabarits spectraux d’émission imposés par les règlementations et les normes dans le domaine des émetteurs radio impulsionnels ultra-large bande. Le choix a été fait de réaliser un capteur in-situ venant extraire les informations nécessaires à une estimation sur puce de la densité spectrale de puissance. Un algorithme d’estimation embarqué peut alors permettre de détecter les gabarits violés et pouvoir rétroagir sur le dispositif. La grande diversité constatée parmi les règlementations et les normes en vigueur ainsi que dans les différentes architectures de générateurs d'impulsions a alors motivé la réalisation d'un système de calibration universel à tous les émetteurs par prise d'informations en sortie. Le manuscrit s'est alors employé à représenter une impulsion à partir de son enveloppe instantanée et de sa fréquence instantanée, ces deux grandeurs temporelles pouvant être extraites pour tout type d'impulsions. Il a été également proposé dans le chapitre une première technique de calibration basée sur la modification de l'enveloppe à des instants précis qui permet de faire rentrer le spectre dans le gabarit tout en maximisant l'occupation de celui-ci. Enfin, l'extraction de l'enveloppe instantanée et de la fréquence instantanée a été abordée en proposant une technique d'extraction par transposition de l'information en bande de base. La conception des dispositifs électroniques nécessaires a été présentée et ceux-ci ont été implémentés sur la même puce qu'un générateur d'impulsions dans le but de réaliser un démonstrateur qui a validé l'utilisation du système étudié. / This thesis focusses on the power emission constraints defined by regulations and standards for every kinds of ultra-wide band impulse radio transmitters. In fact, these power emission constraints have to be respected all along the device life. Also, an integrated sensor able to extract the essential information for an on-chip estimation of the power spectral density has been realized. Then, an embedded algorithm is added to the system and detects if a power limit is broken. If necessary, it acts on the transmitter to solve the problem. In the first chapter, a large variety of power constraints shapes and several architectures of impulse generators have been observed and studied. Therefore, the aim of this thesis is to realise a calibration system which would be universal to all impulse radio transmitters. After its extraction at the output of the transmitter, information have to be downconverted in order to reduce the constraints on conversion stage but without using a local oscillator and a mixer. A model for the impulse signal based on the instantaneous envelop and on the instantaneous frequency has been proposed in the second chapter. A new calibration method based on these two signals is also presented. The last chapter concentrates on detailing the extraction of the instantaneous envelop and the instantaneous frequency. The design of the electronic devices essential to this extraction is presented and a chip has been realised and the viability of the solution shown.

Dans le cadre d'un programme de recherche visant à l'allègement de la structure des véhicules, l'origine de lignage dans des tôles en aluminium AA6016 a été étudiée. Ce phénomène, qui peut apparaître à la suite d'une déformation plastique, est apparenté à de la rugosité de surface alignée dans la direction de laminage (DL). Sa présence est néfaste à une bonne finition de surface, et son intensité est appréciée visuellement par les fabricants.Une méthode de quantification rationnelle a été développée. La caractérisation de la distribution morphologique des motifs de rugosité a été rendue possible par l'utilisation de fonctions fréquentielles telle la densité de puissance spectrale. La note globale, construite à partir de la quantification individuelle des composantes de lignage pur et de rugosité globulaire, s'est montrée en bon accord avec les estimations visuelles, et notamment avec le niveau de lignage intermédiaire regroupant plusieurs aspects de surface différents.La microstructure des matériaux à l'état T4 a été expérimentalement mesurée couche de grains par couche de grain à l'aide d'un couplage entre polissage contrôle et acquisition par EBSD. Les 4 à 5 premières couches sous la surface (-120μm) semblent jouer un rôle mécanique prépondérant dans la formation du lignage car elles offrent à la fois une grande taille de grains moyenne, une importante ségrégation d'orientations cristallines, et une forte similitude de longueurs d'onde entre la rugosité de surface et les motifs de la microtexture.Des simulations numériques ont permis de vérifier que les couples de texture identifiés (Cube/Goss, Cube/Aléatoire et Cube/CT18DN) possédaient des différences d'amincissements hors-plans suffisantes pour générer l'ondulation d'une couche d'éléments. En revanche, l'influence mécanique de cette même couche décroit très rapidement avec son enfouissement dans la profondeur et devient négligeable sous plus de 4 couches d'éléments. / As part of a project on aluminium alloys for vehicle weight reduction, the origins of roping in AA6016 aluminium sheets have been studied. This strain-induced phenomenon is related to surface roughness but involves narrow alignments along rolling direction (RD). Its lowers the surface quality, and its intensity is visually evaluated by vehicle manufacturers.An original quantification method is proposed. The morphological characterization of roughness features has been measured by using frequency functions such as the areal power spectral density. The overall roping quality mark, determined from quantifications of both the isotropic and unidirectional components, shows good agreement with the visual assessment, especially for the intermediate roping levels which exhibit several different surface appearances.The material microtexture has been experimentally measured through grain to grain layers by using serial sectioning and EBSD scans. The first 4 to 5 layers under the surface (-120μm) seem to play a leading role in the micromechanics of roping developpment since they simultaneously exhibit a high average grain size, significant segregation of crystallographic orientations, and a close similitude between surface roughness and microstructural feature wavelenghts.Numerical simulations verified that the identified texture pairs (Cube/Goss, Cube/Random and Cube/CT18DN) have sufficient out-of-plane strain difference to promote one element thick layer undulations. But, the mechanical influence of this layer decreases gradually with depth, and becomes negligible below 4 other layers.

Flow regime identification in industrial systems that rely on complex multi-phase flows is crucial for their safety, control, diagnostics, and operation. The objective of this investigation was to develop and demonstrate objective and minimally-intrusive flow regime classification methods for gas/water/paper pulp three-phase slurries, based on artificial neural network-assisted recognition of patterns in the statistical characteristics of pressure fluctuations. Experiments were performed in an instrumented three-phase bubble column featuring vertical, upward flow. The hydrodynamics of low consistency (LC) gas-liquid-fiber mixtures, over a wide range of superficial phase velocities, were investigated. Flow regimes were identified, gas holdup (void fraction) was measured, and near-wall pressure fluctuations were recorded using high-sensitivity pressure sensors. Artificial neural networks of various configurations were designed, trained and tested for the classification of flow regimes based on the recorded pressure fluctuation statistics. The feasibility of flow regime identification based on statistical properties of signals recorded by a single sensor was thereby demonstrated. The transportability of the developed method, whereby an artificial neural network trained and tested with a set of data is manipulated and used for the characterization of an unseen and different but plausibly similar data set, was also examined. An artificial neural network-based method was developed that used the power spectral characteristics of the normal pressure fluctuations as input, and its transportability between separate but in principle similar sensors was successfully demonstrated. An artificial neural network-based method was furthermore developed that enhances the transportability of the aforementioned artificial neural networks that were trained for flow pattern recognition. While a redundant system with multiple sensors is an obvious target application, such robustness of algorithms that provides transportability will also contribute to performance with a single sensor, shielding effects of calibration changes or sensor replacements.

This study focuses on realization of a Brain Computer Interface (BCI)for the paralyzed to control assistive environmental devices. For this purpose, different motor imagery tasks are classified using different signal processing methods. Specifically, band-pass filtering, Laplacian filtering, and common average reference (CAR) filtering areused to enhance the EEG signal. For feature extraction / Common Spatial Pattern (CSP), Power Spectral Density (PSD), and Principal Component Analysis (PCA) are tested. Linear Feature Normalization (LFN), Gaussian Feature Normalization (GFN), and Unit-norm Feature Vector Normalization (UFVN) are studied in Support Vector Machine (SVM) and Artificial Neural Network (ANN) classification. In order to evaluate and compare the performance of the methodologies, classification accuracy, Cohen&rsquo / s kappa coefficient, and Nykopp&rsquo / s information transfer are utilized. The first experiments on classifying motor imagery tasks are realized on the 3-class dataset (V) provided for BCI Competition III. Also, a 4-class problem is studied using the dataset (IIa) provided for BCI Competition IV. Then, 5 different tasks are studied in the METU Brain Research Laboratory to find the optimum number and type of tasks to control a motor imagery based BCI. Thereafter, an interface is designed for the paralyzed to control assistive environmental devices. Finally, a test application is implemented and online performance of the design is evaluated.

H παρούσα διατριβή εξετάζει το πρόβλημα της διαρροής μικροφώνου, δηλαδή την αλληλεπίδραση και παρεμβολή μεταξύ ταυτόχρονα ενεργών ηχητικών πηγών σε πολυκαναλικές ηχητικές διατάξεις. Παρ' όλο που είναι ένα πολύ συχνό φαινόμενο με το οποίο οι μηχανικοί ήχου έρχονται αντιμέτωποι καθημερινά, δεν έχουν προταθεί μέθοδοι επεξεργασίας σήματος για την επίλυση του προβλήματος. Εδώ, το πρόβλημα διατυπώνεται για πρώτη φορά στο πλαίσιο της επεξεργασίας σήματος. Αρχικά, διατυπώνεται στο πλαίσιο του τυφλού διαχωρισμού πηγών (blind source separation) και αναλύονται οι περιορισμοί αυτής της προσέγγισης. Στην συνέχεια, το πρόβλημα επαναδιατυπώνεται σαν πρόβλημα σήματος υπό θόρυβο στα πλαίσια της καταστολής θορύβου. Ένα πρωτότυπο γενικευμένο πλαίσιο καταστολής διαρροής μικροφώνου εξάγεται βασιζόμενο σε ένα φίλτρο Wiener με πολυκαναλικό όρο θορύβο, καθώς και την ευρέως χρησιμοποιούμενη τεχνική «κοντινού μικροφώνου». Το ακουστικό σύστημα που μοντελοποιεί την διαδικασία μίξης και αλληλεπίδρασης των πηγών αναλύεται και γίνεται διαχωρισμός των σχετικών κρουστικών αποκρίσεων χώρου (room impulse responses) σε απ' ευθείας ακουστικά μονοπάτια και ακουστικά μονοπάτια διαρροής. Οι ιδιότητες του απ' ευθείας ακουστικού μονο- πατιού, δηλαδή της απόκρισης «κοντινού μικροφώνου» αναλύονται για πρώτη φορά από την προσέγγιση της επεξεργασίας σήματος και της ακουστικής κλειστών χώρων για πρώτη φορά. Οι ιδιότητες του ακουστικού μονοπατιού διαρροής αναλύονται επίσης για πρώτη φορά με την χρήση ακουστικών παραμέτρων. Έχοντας καθορίσει τις βασικές ιδιότητες του ακουστικού συστήματος, μια μέθοδος για την καταστολή διαρροής μικροφώνου αναπτύσσεται για μια διάταξη δύο καναλιών, βασισμένη σε ένα φίλτρο Wiener και μια άμεση εκτίμηση των σχετικών πυκνοτήτων φασματικής ενέργεiας (power spectral density). Η απόδοση της μεθόδου για ηχογραφήσεις σε πραγματικούς χώρους είναι πολύ ικανοποιητική και με βάση αυτά τα αποτελέσματα, η μέθοδος επεκτείνεται για περισσότερες από δύο πηγές και μικρόφωνα σε αυθαίρετες διατάξεις. Η ολοκληρωμένη μέθοδος είναι τυφλή και αυτόματη, καθώς δεν απαιτεί την επέμβαση του χρήση. Δεν κάνει χρήση πρότερης γνώσης ούτε απαιτεί εκπαίδευση και είναι υπολογιστικά απλή. Προτείνεται επίσης μια πρωτότυπη μέθοδος ανίχνευσης χρονικών διαστημάτων όπου μόνο μια πηγή είναι ενεργή (χρονικά διαστήματα «σόλο»), η οποία επιτρέπει την εκτίμηση συντελεστών στάθμισης οι οποίοι αντιστοιχούν στην σχετική μείωση της ηχητικής στάθμης που υφίσταται κάθε ηχητική πηγή καθώς το σήμα διαδίδεται προς τα μικρόφωνα. Αυτή η μέθοδος σε συνδυασμό με μια νεά, πρωτότυπη τεχνική εκτίμησης των πυκνοτήτων φασματικής ενέργεαις, η οποία βασίζεται στην αναγνώριση των κυρίαρχων διακριτών συχνοτήτων, επιτρέπει την εκτίμηση όλων των σχετικών ποσοτήτων σε μια πολυκαναλική ηχητική διάταξη. Από αυτές υπολογίζεται ένα πολυκαναλικό φίλτρο Wiener για κάθε σήμα μικροφώνου, το οποίο δίνει την εκτίμηση του αντίστοιχου σήματος πηγής. / This thesis examines the problem of microphone leakage, that is the interference between simultaneously active sound sources in multichannel audio applications. Despite being a common problem with which sound engineers are confronted every day, almost no signal processing methods have been proposed to address this issue. In this work, the problem is formulated for the first time in a signal processing framework. First, it formulated inside the blind source separation (BSS) context and the limitations of related methods are analysed and reported. Since, BSS methods seem to be inappropriate for this specific problem, it is reformulated as a signal in noise problem inside the well-known noise suppression framework. Based on the widely adopted close-microphone technique a novel, generalized framework for leakage suppression is derived based on a multichannel Wiener filter. The acoustic system that models the mixing process is analysed and the related room impulse responses are discerned in direct and leakage acoustic paths. The properties of the direct acoustic path, that is the close-microphone response are investigated for the first time, from a signal processing point of view as well as a room acoustics perspective. The properties of the leakage acoustic path are also analysed for the first time using room acoustic parameters. After key properties of the acoustic paths have been identified, a method for the suppression of microphone leakage in a two channel audio setup is developed based on aWiener filter and a crude approximation of the related power spectral densities (PSDs). The performance of this method for actual recordings in real reverberant environments is more than adequate and based on these results, the method is extended for more than two sources and microphones in arbitrary arrangements. The complete method is blind and automatic, since it does not require any user input. It does not assume any prior knowledge or require training and is computationally efficient. A novel solo detection method has been developed that allows the estimation of weighting coefficients that correspond to the relative attenuation experienced by sound sources as they travel to each microphone. Combined with a new and advanced PSD estimation method based on the identification of dominant frequency bins, the related PSDs in a multichannel audio application can be identified. From these an appropriate multichannel Wiener filter for each microphone signal can be calculated, which will provide the estimated source signal at its output.

Submitted by Maria Medeiros (maria.dilva1@ufcg.edu.br) on 2018-08-24T15:00:51Z No. of bitstreams: 1 RAISSA BEZERRA ROCHA - TESE (PPgEE) 2017.pdf: 2547994 bytes, checksum: e7533ebc755ba778f971329b75a40ff2 (MD5) / Made available in DSpace on 2018-08-24T15:00:51Z (GMT). No. of bitstreams: 1 RAISSA BEZERRA ROCHA - TESE (PPgEE) 2017.pdf: 2547994 bytes, checksum: e7533ebc755ba778f971329b75a40ff2 (MD5) Previous issue date: 2017-03-20 / CNPq / A busca por novos modelos que representem a biofísica da fonação da voz é importante em aplicações que incluem o processamento do sinal de voz por representar uma ferramenta no conhecimento de característica dos locutores. Esta tese de doutorado apresenta uma nova abordagem para a teoria fonte-filtro de geração de voz, mais precisamente sons sonoros, que realiza a modelagem da voz por meio de três subsistemas independentes: fonte de excitação, trato vocal e radiação dos lábios e narinas. Trata-se de um modelo em que a geração da voz é feita por meio de filtros lineares e invariantes ao deslocamento no tempo e que leva em consideração a física da fonação, a partir da característica cicloestacionária do sinal de voz, proveniente do comportamento de vibração das cordas vocais. É sugerido que a frequência de oscilação das cordas vocais é dada em função da massa e comprimento delas, e que seu valor é alterado principalmente pela tensão longitudinal aplicada a elas. No modelo proposto para geração da voz, o movimento vibratório das cordas vocais é modelado por meio de um de gerador de trem de impulsos cicloestacionário, controlado por um sinal de tensão obtido a partir da forma de onda do sinal de voz. É realizada toda a análise matemática que abrange o novo modelo para a excitação glotal, apresentando-se uma expressão matemática da densidade espectral de potência do sinal que excita a glote, bem como para o sinal de voz, cujos parâmetros podem ser ajustados para emular patologias na glote. Além disso, apresenta-se a análise no domínio da frequência do pulso glotal usado. Para analisar o desempenho do modelo proposto, testes com locução foram realizados e os resultados indicam que o modelo proposto se ajusta bem a geração da voz. / The search for new models that represent the biophysics of voice phonation is important for applications that include voice signal processing because it represents a tool for getting to know the characteristics of the speakers. This doctoral thesis presents a new proposal for the source-filter theory of voice production, more precisely related to voiced sounds, that performs the voice modelling using three independent subsystems: the excitation source, the vocal tract, the lip and nostrils radiation system. It is a proposal for a model to generate voice using linear and time-invariant systems, and takes into account the phonation physics and the cyclestationarity characteristics of the voice signal, related to the vibrational behavior of the vocal cords. The model suggests that the frequency oscillation of the vocal folds is a function of the mass and length, but controlled by the longitudinal tension applied to them. In the proposed voice generation model, the vibratory movement of the vocal cords is modeled by a cyclestationary train of impulses, controlled by a tension signal obtained from the voice signal waveform. A mathematical analysis encompassing the new model for glottal excitation is accomplished by presenting a mathematical expression of the signal power spectral density which excites the glottis, as well as the voice signal, whose parameters can be adjusted to emulate pathologies in the glottis. Moreover, the analysis of the utilized glottal pulse in the frequency domain is presented. To analyze the performance of the proposed model, tests with locutions were done and the results indicate that the proposed model adjusts well to voice generation.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / This dissertation aims to make a study and processing of two types of signs of neuronal electrical activity. The first was recorded from multielectrode arrays (MEA), in reference to spontaneous activity of neuronal groups grown in cultures. We analyzed two cultures considered inactive, meaning, cultures that after a few days in vitro, there was not a connection between neurons. It was applied two mathematical tools, autocorrelation and power spectral density, allowing an analysis of the signal in time domain and frequency, respectively, trying to verify whether the data recorded from these inactive cultures could be considered as noise from instrumentation. In fact, the results indicate that these signals have similar characteristics to white noise, which disturbs any computer analysis usually performed by researchers in computational neuroscience. Another source of signals used for this study were records of electroencephalography (EEG), collected on 20 patients from the Clinical Hospital of Uberlândia under prior consent. After a clinical examination by qualified professional, an analysis was performed using computational Fourier transform and power spectral density. Through amplitude graphics (Fourier transform) and spectral density, we have realized that the signal energy is concentrated around the frequencies more representative and, in some cases, there was presence of noise from power network. With the phase spectrum, it was possible to conclude that signals with similar frequencies have spectra of similar phase. / Esta dissertação tem como objetivo fazer um estudo e processamento de dois tipos de sinais de atividade elétrica neuronal. O primeiro foi registrado a partir de matrizes multieletrodos (MEA), referentes a atividade espontânea de grupos neuronais em cultura. Foram analisadas duas culturas consideradas como inativas, ou seja, culturas que após alguns dias in vitro, não se verificou a conexão entre os neurônios. Foram aplicadas duas ferramentas matemáticas, autocorrelação e densidade espectral de potência, permitindo uma análise do sinal no domínio do tempo e freqüência, respectivamente, procurando verificar se os dados registrados destas culturas inativas poderiam ser considerados como ruído de instrumentação. De fato, os resultados apontam que estes sinais apresentam características semelhantes ao ruído branco, o qual perturba qualquer análise informática normalmente realizada por pesquisadores em neurociência computacional. Outra fonte de sinais utilizados para este estudo foram registros de eletroencefalografia (EEG), coletados em 20 pacientes do Hospital de Clínicas de Uberlândia sob prévio consentimento destes. Após uma análise clínica por profissional qualificado, foi realizada uma análise computacional utilizando transformada de Fourier e densidade espectral de potência. Através dos gráficos de amplitude (transformada de Fourier) e densidade espectral, percebeu-se que a energia do sinal está concentrada em torno das freqüências mais representativas e, em alguns casos, observou-se presença de ruído de rede elétrica. Com o espectro de fase, foi possível concluir que sinais com freqüências semelhantes apresentam espectros de fase semelhantes. / Mestre em Ciências

Abstract: The thesis work is part of a project that aims to develop a reliable CFD model to investigate the fluid-dynamics of a fluidized bubbling bed during gasification of refuse derived fuel (RDF) from sorted municipal solid waste (MSW). Gasification is a thermochemical process that converts carbon-containing materials into syngas. In this specific context scaling up is challenging because it implies dealing with a complex chemistry combined to heat and mass transfer phenomena in a multi-phase fluid environment. CFD modeling could represent a potential tool to predict the impact of the reactor configuration and operating conditions on gas yield, composition and potential contaminants. Validation of CFD simulations for such systems has been so far possible using different sophisticated experimental tools, allowing to link the model with experimental data. However, such high tech equipment may not always be available, especially at industrial scale. Hence, this work focuses on investigating the accuracy and numerical sensitivity of two different CFD models employed in the characterization of dense solid-particle flows in bubbling fluidized beds. The key parameter adopted to describe and quantify the dynamic behavior of this multiphase system is the power spectral density (PSD) distribution of pressure fluctuations. This PSD function was used to assess the accuracy of CFD models using one set of operating condition. The same type of analysis, extended to a wider range of operating conditions, may lead to a robust validation of the numerical models presented in this work. In spite of his measurement simplicity, pressure drop data present a strong connection with the bed fluid-dynamics and its interpretation could help to improve the fluidized bed technologies very fast, pushing CFD models closer to applications. / Résumé : Le but de ce projet est de développer un modèle CFD fiable pour étudier la dynamique des fluides d'un lit fluidisé en régime bullant pendant la gazéification de combustibles solides de récupération (CSR) triés à partir de déchets solides municipaux (DSM). La gazéification est un processus thermochimique qui convertit les matériaux contenant du carbone en gaz de synthèse. La mise à l'échelle est difficile dans ce cas car elle implique une chimie complexe combinée aux phénomènes de transfert de chaleur et de masse dans un environnement fluide multiphasique. La modélisation CFD représente un outil potentiel pour prédire l'impact de la configuration du réacteur et des conditions de fonctionnement sur le rendement, la composition et les contaminants potentiels du gaz. La validation des simulations CFD pour de tels systèmes a été jusqu'à présent possible grâce à l’utilisation de différents outils expérimentaux sophistiqués, permettant de lier le modèle aux données expérimentales. Toutefois, un tel équipement de pointe n’est pas toujours disponible, en particulier à l'échelle industrielle. Par conséquent, ce travail se concentre sur l'étude de la précision et de la sensibilité numérique de deux modèles CFD différents, utilisés dans la caractérisation des flux de particules solides denses dans les lits fluidisés bouillonnants. Le paramètre clé adopté pour décrire et quantifier le comportement dynamique de ce système multiphase est la distribution de la densité spectrale de puissance (DSP) des fluctuations de pression. La fonction DSP a été utilisée pour évaluer la précision des modèles CFD en utilisant un ensemble de conditions de fonctionnement. Le même type d'analyse, étendu à une plus large gamme de conditions de fonctionnement, peut conduire à une validation robuste des modèles numériques présentés dans ce travail. En dépit de sa simplicité de mesure, les données de chute de pression présentent une importante corrélation avec les lits fluidisés, de plus, leur interprétation pourrait aider à améliorer ces technologies très rapidement, poussant les modèles CFD plus près des applications.