In general, acoustic channels are not Gaussian distributed neither are second-order stationary. Considering them for signal processing methods designed for Gaussian assumptions is inadequate, consequently yielding in poor performance of such methods. This paper presents an analysis for audio signal corrupted by impulsive noise using non-Gaussian models. Audio samples are compared to the Gaussian, α -stable and Gaussian mixture models, evaluating the fitting by graphical and numerical methods. We discuss fitting properties as the window length and the overlap, finally concluding that the α -stable model has the best fit for all tested scenarios.
Vehicular acoustic noise evaluations are a concern of researchers due to health and comfort effects on humans and are fundamental for anyone interested in mitigating audio noise. This paper focuses on the evaluation of the noise level inside a vehicle by using statistical tools. First, an experimental setup was developed with microphones and a microcomputer located strategically on the car’s panel, and measurements were carried out with different conditions such as car window position, rain, traffic, and car speed. Regression analysis was performed to evaluate the similarity of the noise level from those conditions. Thus, we were able to discuss the relevance of the variables that contribute to the noise level inside a car. Finally, our results revealed that the car speed is strongly correlated to interior noise levels, suggesting the most relevant noise sources are in the vehicle itself.
RESUMO análise do estado da arte sobre estimação da direção de chegada (DoA) indicou a existência de uma ampla gama de algoritmos, e em alguns casos com diversas variantes. Assim, existe uma pluralidade de equacionamentos e representações matemáticas, avaliados em diversos cenários de prototipagem, que impõe ao pesquisador certa dificuldade para realizar avaliações de desempenho comparativas entre as técnicas. Este artigo apresenta o SimPatico (Simulation PlAtform for PosiTIon LoCatiOn evaluation), uma ferramenta de prototipagem de fácil customização, que pode ser utilizada para testar soluções de estimação de DoA. O SimPatico é usado para validar o desempenho de algoritmos clássicos de estimação de DoA e apresentar uma análise de desempenho unificada de algoritmos paramétricos e não-paramétricos. Palavra-Chave: Ângulo de Chegada. Plataforma de simulação. Métodos baseados em autovalores.
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