Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Material grain noise analysis by using higher-order statistics
Signal Processing
ICA Mixture Modeling for the Classification of Materials in Impact-Echo Testing
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Application of independent component analysis for evaluation of ashlar masonry walls
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
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This paper presents two novel applications of ICA in Non Destructive Evaluation by ultrasounds applied to diagnosis of the material consolidation status and to determination of the thickness material profiles in restoration of historical buildings. In those applications the injected ultrasonic pulse is buried in backscattering grain noise plus sinusoidal phenomena; this latter is analyzed by ICA. The mixture matrix is used to extract useful information concerning to resonance phenomenon of multiple reflections of the ultrasonic pulse at non consolidated zones and to improve the signals by detecting interferences in ultrasonic signals. Results are shown by real experiments at a wall of a Basilica’s restored cupola. ICA is used as pre-processor to obtain enhanced power signal B-Scans of the wall.