This study extends the work done on nonuniform phase statistics by including additional results based on quasi-periodic scattering. Three parameters are used to predict the presence of regular structure within the region of interest. The... more
This study extends the work done on nonuniform phase statistics by including additional results based on quasi-periodic scattering. Three parameters are used to predict the presence of regular structure within the region of interest. The signal-to-noise ratio of phase and the chi (2) statistic resulting from conducting a goodness of fit test are two parameters used to verify whether the phase signal followed a uniform distribution. A third parameter, the power spectral density (PSD), was studied and its ability to provide information on the level of periodicity present was analyzed. Computer simulations and experiments on tissue mimicking phantoms were carried out, the results of which indicate that the parameters introduced in this paper have good potential in providing a better understanding of scattering from a collection of quasi-periodic scatterers.
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Research Interests: Mechanical Engineering, Civil Engineering, Vibrations, Independent Component Analysis, Blind Source Separation, and 9 moreNon Destructive Testing, Spectral analysis, Transfer Function, BSS, Interdisciplinary Engineering, Aluminium Alloy, Surface Measurement, Defect Characterisation, and Resonant Frequency
Research Interests: Machine Learning, Pattern Recognition, Clustering and Classification Methods, Independent Component Analysis, Semi-supervised Learning, and 13 moreBlind Source Separation, Non Destructive Testing, Unsupervised Learning, Non Parametric Estimation, Data Model, Finite Element Model, Mixture Model, Statistical Pattern Recognition, Synthetic Data Generation, Electrical And Electronic Engineering, Classification Accuracy, Generic model, and Unlabeled Data
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This article presents an ICA model for applying in Non Destructive Testing by Impact-Echo. The approach consists in considering flaws inside the material as sources for blind separation using ICA. A material is excited by a hammer impact... more
This article presents an ICA model for applying in Non Destructive Testing by Impact-Echo. The approach consists in considering flaws inside the material as sources for blind separation using ICA. A material is excited by a hammer impact and a convolutive mixture is sensed by a multichannel system. Obtained information is used for classifying in defective or non defective material. Results based on simulation by finite element method are presented, including different defect geometry and location.
