Time-delay estimation (TDE) finds application in a variety of problems, be it locating fractures or steering cameras towards the speaker in a multi-participant conference application. Underwater acoustic OFDM source localization is another important application of TDE. Existing underwater acoustic source localization techniques use a microphone array consisting of three or four sensors in order to effectively locate the source. Analog-to-digital (ADC) converters at these sensors call for a non-nominal investment in terms of circuitry and memory. A relatively inexpensive source localization algorithm is needed that works with the output of a single sensor. Since an inexpensive process for estimating the location of the source is desired, the ADC used at the sensor is capable only of a relatively low sampling rate. For a given delay, a low sampling rate leads to sub-sample interval delays, which the desired algorithm must be able to estimate. Prevailing TDE algorithms make some a priori assumptions about the nature of the received signal, such as Gaussianity, wide-sense stationarity, or periodicity. The desired algorithm must not be restrictive in so far as the nature of the transmitted signal is concerned. A time-delay estimation algorithm based on the time-frequency ratio of mixtures (TFRM) method is proposed. The experimental set-up consists of two microphones/sensors placed at some distances from the source. The method accepts as input the received signal which consists of the sum of the signal received at the nearer sensor and the signal received at the farther sensor and noise. The TFRM algorithm works in the time-frequency domain and seeks to perform successive source cancellation in the received burst. The key to performing source cancellation is to estimate the ratio in which the sources combine and this ratio is estimated by means of taking a windowed mean of the ratio of the spectrograms of any two pulses in the received burst. The variance of the mean function helps identify single-source regions and regions in which the sources mix. The performance of the TFRM algorithm is evaluated in the presence of noise and is compared against the Cramer-Rao lower bound. It is found that the variance of the estimates returned by the estimator diverge from the predictions of the Cramer-Rao inequality as the farther sensor is moved farther away. Conversely, the estimator becomes more reliable as the farther sensor is moved closer. The time-delay estimates obtained from the TFRM algorithm are used for source localization. The problem of finding the source reduces to finding the locus of points such that the difference of its distances to the two sensors equals the time delay. By moving the pair of sensors to a different location, or having a second time delay sensor, an exact location for the source can be determined by finding the point of intersection of the two loci. The TFRM method does not rely on a priori information about the signal. It is applicable to OFDM sources as well as sinusoidal and chirp sources. / Master of Science

This thesis is related to the field of Sound Source Separation (SSS). It addresses the development and evaluation of these techniques for their application in the resynthesis of high-realism sound scenes by means of Wave Field Synthesis (WFS). Because the vast majority of audio recordings are preserved in twochannel stereo format, special up-converters are required to use advanced spatial audio reproduction formats, such as WFS. This is due to the fact that WFS needs the original source signals to be available, in order to accurately synthesize the acoustic field inside an extended listening area. Thus, an object-based mixing is required. Source separation problems in digital signal processing are those in which several signals have been mixed together and the objective is to find out what the original signals were. Therefore, SSS algorithms can be applied to existing two-channel mixtures to extract the different objects that compose the stereo scene. Unfortunately, most stereo mixtures are underdetermined, i.e., there are more sound sources than audio channels. This condition makes the SSS problem especially difficult and stronger assumptions have to be taken, often related to the sparsity of the sources under some signal transformation. This thesis is focused on the application of SSS techniques to the spatial sound reproduction field. As a result, its contributions can be categorized within these two areas. First, two underdetermined SSS methods are proposed to deal efficiently with the separation of stereo sound mixtures. These techniques are based on a multi-level thresholding segmentation approach, which enables to perform a fast and unsupervised separation of sound sources in the time-frequency domain. Although both techniques rely on the same clustering type, the features considered by each of them are related to different localization cues that enable to perform separation of either instantaneous or real mixtures.Additionally, two post-processing techniques aimed at improving the isolation of the separated sources are proposed. The performance achieved by several SSS methods in the resynthesis of WFS sound scenes is afterwards evaluated by means of listening tests, paying special attention to the change observed in the perceived spatial attributes. Although the estimated sources are distorted versions of the original ones, the masking effects involved in their spatial remixing make artifacts less perceptible, which improves the overall assessed quality. Finally, some novel developments related to the application of time-frequency processing to source localization and enhanced sound reproduction are presented. / Cobos Serrano, M. (2009). Application of sound source separation methods to advanced spatial audio systems [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/8969

Proposé dans le cadre d’une triple collaboration entre le Centre de Recherche en Science et Technologie de l'Information et de la Communication (CReSTIC) de l'Université de Reims Champagne-Ardenne (URCA), le Laboratoire d'Ingénierie et Sciences des Matériaux (LISM) de l'Université de Reims Champagne-Ardenne (URCA) et le Laboratoire Electronique et Télécommunication (LET) de l'Université Mohammed 1er, ce projet a pour objectif d’associer les compétences de ces laboratoires, le traitement du signal pour le CReSTIC et le LET et la caractérisation de l’endommagement des agro matériaux composites pour le LISM. Le travail de cette thèse consiste à développer une méthode de Contrôle Non Destructif CND) par Emissions Acoustiques (EA). En effet, durant le processus de dégradation des matériaux composites (sollicitations mécaniques, vieillissement), plusieurs mécanismes d’endommagement à l’échelle microscopique peuvent intervenir selon la nature du composite et de ses constituants (fibres et résine). L’EA permet d’analyser et d’identifier plus en détails ces mécanismes d’endommagement, à l’aide d’une classification. Cette méthode de classification sera basée sur l’utilisation de méthodes à noyaux (typiquement séparateur à vastes marges) dans le domaine temps-fréquence. Il s’agira de déterminer un (ou des) noyau(x) adapté(s) au problème posé, basé sur une mesure de similarité entre les signaux. Ce travail permettra ainsi d’analyser et classifier les mécanismes d’endommagement sans emploi de descripteurs. Cette nouvelle méthode de CND par EA permettra de fournir des informations pertinentes et de vérifier efficacement la fiabilité et l'état de santé en temps réel de structures en service, sans perturber l'exploitation tout en réduisant les coûts de maintenance. / The aims of this thesis consists in developing a method of Non-destructive testing (NDT) by Acoustic Emissions (AE). Indeed, during the process of degradation of composite materials several mechanisms of damage in the microscopic scale can intervene according to the nature of the composite and its constituents (fibers and epoxy). AE allows to analyze and to identify more in detail these damages mechanism, by means of a classification. This method of classification will be based on the use of kernel methods in the time - frequency domain. It will be a question of determining one adapted kernel in the proposed problem. This work will so allow to analyze and to classify mechanisms without using descriptors.

O amortecimento, fenômeno pelo qual energia mecânica em um sistema dinâmico é dissipada, é uma das propriedades mais sensíveis dos materiais quanto a presença de trincas e microtrincas. O estudo do amortecimento já é bem estabelecido em áreas como engenharia civil, em que é de importância na resistência mecânica de um sistema sujeito a abalos sísmicos e vibrações, porém vem sendo cada vez mais estudado na indústria de materiais para analisar e quantificar o dano em concretos refratários que sofrem ciclos de choque térmico. Este trabalho apresenta uma metodologia e algoritmo para a determinação do amortecimento das ressonâncias de um material, para avaliação de danos em concretos refratários, através da análise espectral de tempo-frequência. São também apresentados os resultados obtidos para um sinal simulado, uma barra de alumina densa e um par de barras de concreto refratário comercial de alta alumina, sendo uma com e outra sem dano por choque térmico. Com o uso do método foi possível recuperar o valor do amortecimento e a frequência usada para gerar o sinal simulado. O resultado apresentado para a alumina é compatível com o valor encontrado em literatura e, com o resultado obtido para os concretos refratários, foi possível mostrar o potencial de aplicação do método para caracterização de dano, sendo significativa a diferença do amortecimento do concreto com dano para o concreto sem dano. / Damping, phenomenon by which mechanical energy is reduced in dynamic systems, is one of the most sensible properties of materials in relation to the presence of cracks and micro-cracks. The study of the damping is well stablished in areas such as civil engineering, where it has fundamental importance in the mechanical resistance of a system exposed to seismic waves or vibration, although it is beginning to be used more often in the material industry to analyze and quantify the damage in castables that suffered thermal-shock cycles. This work presents a methodology and an algorithm to determine the resonances damping factors of a material, to evaluate the damage caused by thermal shock in castables, through the use of time-frequency spectral analysis. Results are presented for a simulated signal, an alumina beam, a pair of commercial high alumina with low-aggregate content castable, a pair of high alumina with high-aggregate content castable and a pair of silico-aluminous castable impregnated with coke. Each pair contains one sample with damage through thermal-shock cycle(s) and the other without. By using this method it was possible to retrieve the damping value and frequency used to generate the simulated signal. The result for the alumina beam was in accordance to the literature values and, with the results achieved for the castables, it was possible to expose the potential application of the method to characterize damage: there were a considerable difference between the damping value of the castables with and without damages.

Neste trabalho simulou-se o escoamento do fluxo de ar em um tubo, com um anteparo de formato triangular com arestas cortantes, posicionado no centro do tubo. O objetivo do estudo é a análise do comportamento do número de Strouhal em função do número de Reynolds. Para isto, foi utilizada a técnica da análise tempo-freqüência, baseada na transformada de Fourier e na transformada de Gabor. Os ensaios foram realizados com o fluxo com velocidades médias de escoamento de 3 a 10 m/s, sendo utilizado um sensor de pressão tipo piezo-resistivo para a detecção da flutuação de pressão ocasionada pelo desprendimento e formação dos vórtices. Os ensaios foram realizados em cinco etapas com o objetivo de se verificar a influência dos seguintes parâmetros na coleta de sinais e no fenômeno: ruído da rede elétrica; influência do anteparo e do ruído proveniente do escoamento do fluxo de ar; número de pontos da amostragem na coleta dos dados; do comprimento da tubulação; e posicionamento do sensor. Pode-se observar, a sensibilidade do sistema de medição através do ensaio realizado sem o anteparo, sendo verificada a influência do ruído do escoamento de ar pelo tubo; pode-se observar também uma pequena interferência do ruído da rede elétrica predominantemente para velocidades abaixo de 3 m/s. Apesar das influências citadas, e utilizando a transformada de Gabor para análise dos sinais, observou-se um sinal mais intenso na freqüência dos vórtices para as velocidades de escoamento, podendo-se comprovar que o número de Strouhal permanece quase constante e é independente do número de Reynolds, devendo-se ressaltar que esta conclusão é valida para números de Reynolds compreendidos na faixa de 3000 a 100000. No experimento obteve-se um fator de sensibilidade (freqüência vórtices/velocidade média) de 8,2 Hz/m/s, e número de Strouhal médio de 0,196. / This work concerns the simulation of an air flux through a pipe with a triangular bluff body positioned inside it. In order to study the behavior of the Strouhal number in function of the Reynolds number. For this, the time-frequency analysis technique was used, based on Fourier transform and the Gabor transform. The experiments were carried out with an air flux velocity ranging from 3 to 10 m/s and using a piezoresistive pressure sensor to detect pressure fluctuations caused by the shedding and vortex formation. The experimental procedures were divided in five stages to make it possible to verify the influence of the following parameters in the signal data acquisition: electric network noise, the bluff body presence and the noise generated due to its presence, number of sampling data points, tubing length and sensor positioning. The sensitivity of the experiment could be observed testing the air flowing with no bluff body inside the pipe. Thus, it was possible to investigate the influence of the noise generated due to this flux limiting body. It could be also observed, mainly at 3 m/s or less, the noise generated due to the electric network. Despite the listed influences, and with the use of the Gabor transform, a more intense signal on the vortex frequency for the flow velocity was observed, showing that the Strouhal number remains almost constant and is independent of the Reynolds number. It is important to recall that this conclusion is valid for Reynolds numbers between 3000 and 100000. In the experiments the factor of sensitivity (vortex frequency/mean velocity) obtained was 8,2 Hz/m/s and the mean Strouhal number 0,196.

O amortecimento, fenômeno pelo qual energia mecânica em um sistema dinâmico é dissipada, é uma das propriedades mais sensíveis dos materiais quanto a presença de trincas e microtrincas. O estudo do amortecimento já é bem estabelecido em áreas como engenharia civil, em que é de importância na resistência mecânica de um sistema sujeito a abalos sísmicos e vibrações, porém vem sendo cada vez mais estudado na indústria de materiais para analisar e quantificar o dano em concretos refratários que sofrem ciclos de choque térmico. Este trabalho apresenta uma metodologia e algoritmo para a determinação do amortecimento das ressonâncias de um material, para avaliação de danos em concretos refratários, através da análise espectral de tempo-frequência. São também apresentados os resultados obtidos para um sinal simulado, uma barra de alumina densa e um par de barras de concreto refratário comercial de alta alumina, sendo uma com e outra sem dano por choque térmico. Com o uso do método foi possível recuperar o valor do amortecimento e a frequência usada para gerar o sinal simulado. O resultado apresentado para a alumina é compatível com o valor encontrado em literatura e, com o resultado obtido para os concretos refratários, foi possível mostrar o potencial de aplicação do método para caracterização de dano, sendo significativa a diferença do amortecimento do concreto com dano para o concreto sem dano. / Damping, phenomenon by which mechanical energy is reduced in dynamic systems, is one of the most sensible properties of materials in relation to the presence of cracks and micro-cracks. The study of the damping is well stablished in areas such as civil engineering, where it has fundamental importance in the mechanical resistance of a system exposed to seismic waves or vibration, although it is beginning to be used more often in the material industry to analyze and quantify the damage in castables that suffered thermal-shock cycles. This work presents a methodology and an algorithm to determine the resonances damping factors of a material, to evaluate the damage caused by thermal shock in castables, through the use of time-frequency spectral analysis. Results are presented for a simulated signal, an alumina beam, a pair of commercial high alumina with low-aggregate content castable, a pair of high alumina with high-aggregate content castable and a pair of silico-aluminous castable impregnated with coke. Each pair contains one sample with damage through thermal-shock cycle(s) and the other without. By using this method it was possible to retrieve the damping value and frequency used to generate the simulated signal. The result for the alumina beam was in accordance to the literature values and, with the results achieved for the castables, it was possible to expose the potential application of the method to characterize damage: there were a considerable difference between the damping value of the castables with and without damages.

A presente dissertação tem como objetivo principal estudar a propagação acústica em escoamentos monofásicos. Para tal, são analisados sinais transientes de pressão fornecidos por sensores instalados em posições conhecidas na linha de teste, através do estudo de técnicas de análise de sinais, a fim de investigar se as variações do conteúdo espectral dos sinais são influenciadas pela ocorrência de vazamentos no duto. A análise dos sinais foi realizada nos planos temporal, frequencial, tempo-frequência e estatístico. Os resultados experimentais foram obtidos no oleoduto piloto do NETeF - Núcleo de Engenharia Térmica e Fluidos da USP - Universidade de São Paulo, com uma seção de testes com 1500 metros e diâmetro de 51,2 mm, com escoamento monofásico de água. Os resultados obtidos através da análise tempo-frequência mostraram-se satisfatórios, sendo esta técnica capaz de identificar a composição espectral instantânea de um sinal, ou seja, foi eficiente na identificação de picos de amplitude da frequência ao longo do eixo temporal. Além disso, a análise probabilística, através do desvio-padrão do sinal também mostrou-se eficiente exibindo uma disparidade significativa entre os sinais com e sem vazamento. / The present dissertation reports on the study of the acoustic propagation in single-phase flow. It analyzes the transient signals provided by pressure sensors in known locations in the test line through the study of signal analysis techniques to investigate if the variations in spectral content of the signals are influenced by the occurrence of leaks in the pipe. The analysis of signals was performed in the time, frequency, time-frequency and statistical plans. The experimental results were obtained in a 1500 meter-long and 51.2 millimeter-diameter pilot pipeline at the Center of Thermal Engineering and Fluids, with single-phase flow of water. The results obtained by time-frequency analysis were satisfactory, allowing identifying the spectral composition of an instantaneous signal, i.e., the analysis was effective in identifying the frequency amplitude peaks along the time axis. Moreover, probabilistic analysis using the standard deviation of the signal was also efficient, displaying a significant disparity between the signals with and without leakage.

Otoacoustic emission (OAE) data recorded for tone bursts presented separately and as a two-tone burst complex, that had been reported previously [Yoshikawa, H., Smurzynski, J., Probst R., 2000. Suppression of tone burst evoked otoacoustic emissions in relation to frequency separation. Hear. Res. 148, 95–106], were re-processed using the method of adaptive approximations by matching pursuit (MP). Two types of stimuli were applied to record tone burst OAEs (TBOAEs): (a) cosine-windowed tone bursts of 5-ms duration with center frequencies of 1, 1.5, 2 and 3kHz, (b) complex stimuli consisting of a digital addition of the 1-kHz tone burst together with either the 1.5-, 2- or 3-kHz tone burst. The MP method allowed decomposition of signals into waveforms of defined frequency, latency, time span, and amplitude. This approach provided a high time–frequency (t–f) resolution and identified patterns of resonance modes that were characteristic for TBOAEs recorded in each individual ear. Individual responses to single-tone bursts were processed off-line to form ‘sum of singles’ responses. The results confirmed linear superposition behavior for a frequency separation of two-tone bursts of 2kHz (the 1-kHz and 3-kHz condition). For the 1, 1.5-kHz condition, the MP results revealed the existence of closely positioned resonance modes associated with responses recorded individually with the stimuli differing in frequency by 500Hz. Then, the differences between t–f distributions calculated for dual (two-tone bursts) and sum-of-singles conditions exhibited mutual suppression of resonance modes common to both stimuli. The degree of attenuation depended on the individual pattern of characteristic resonance modes, i.e., suppression occurred when two resonant modes excited by both stimuli overlapped. It was postulated that the suppression observed in case of dual stimuli with closely-spaced components is due to mutual attenuation of the overlapping resonance modes.

'It is not a lack of spectrum. It is an issue of efficient use of the available spectrum"--conclusions of the FCC Spectrum Policy Task Force. There is growing interest towards providing broadband communication with high bit rates and throughput, especially in the ISM band, as it was an ignition of innovation triggered by the FCC to provide, to some extent, a regulation-free band that anyone can use. But with such freedom comes the risk of interference and more responsibility to avoid causing it. Therefore, the need for accurate interference detection and identification, along with good blind detection capabilities are inevitable. Since cognitive radio is being adopted widely as more researchers consider it the ultimate solution for efficient spectrum sharing [1], it is reasonable to study the cognitive radio in the ISM band [2]. Many indications show that the ISM band will have less regulation in the future, and some even predict that the ISM may be completely regulation free [3]. In the dawn of cognitive radio, more knowledge about possible interfering signals should play a major role in determining optimal transmitter configurations. Since signal identification and interference will be the core concerns [4], [5], we will describe a novel approach for a cognitive radio spectrum sensing engine, which will be essential to design more efficient ISM band transceivers. In this thesis we propose a novel spectrum awareness engine to be integrated in the cognitive radios. Furthermore, the proposed engine is specialized for the ISM band, assuming that it can be one of the most challenging bands due to its free-to-use approach. It is shown that characterization of the interfering signals will help with overcoming their effects. This knowledge is invaluable to help choose the best configuration for the transceivers and will help to support the efforts of the coexistence attempts between wireless devices in such bands.

<p>Laser vibration sensing can be used to classify military targets by its unique vibration signature. A coherent laser radar receives the target´s rapidly oscillating surface vibrations and by using proper demodulation and Doppler technique, stationary, radially moving and even accelerating targets can be taken care of. </p><p>A frequency demodulation method developed at the former FOA, is for the first time validated against real data with turbulence, scattering, rain etc. The issue is to find a robust and reliable system for target recognition and its performance is therefore compared with some frequency distribution methods. The time frequency distributions have got a crucial drawback, they are affected by interference between the frequency and amplitude modulated multicomponent signals. The system requirements are believed to be fulfilled by combining the FOA method with the new statistical method proposed here, the combination being suggested as aimpoint for future investigations.</p>