Browsing by Author "Ham, Fredric M."
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Classification of infrasound events using hermite polynomial preprocessing and radial basis function neural networks
Lowrie, Christopher G.; Ham, Fredric M. (2006-04-17)A method of infrasonic signal classification using hermite polynomials for signal preprocessing is presented. Infrasound is a low frequency acoustic phenomenon typically in the frequency range 0.01 Hz to 10 Hz. Data collected ... -
Discrimination of volcano activity and mountain associated waves using infrasonic data and a backpropagation neural network
Ham, Fredric M.; Leeney, Thomas A.; Canady, Heather M.; Wheeler, Joseph C. (1999-03-22)An integral part of the Comprehensive Nuclear Test Ban Treaty monitoring is an international infrasonic monitoring network that is capable of detecting and verifying nuclear explosions. Reliable detection of such events ... -
Partial least-squares: Theoretical issues and engineering applications in signal processing
Ham, Fredric M.; Kostanic, Ivica (1995)In this paper we present partial least-squares (PLS), which is a statistical modeling method used extensively in analytical chemistry for quantitatively analyzing spectroscopic data. Comparisons are made between classical ... -
Separation of infrasound signals using Independent Component Analysis
Ham, Fredric M.; Park, Sungin; Wheeler, Joseph C. (2000-03-30)An important element of monitoring compliance of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) is an infrasound network. For reliable monitoring, it is important to distinguish between nuclear explosions and other ... -
Tracking of moving objects in scenery using subspace projection using independent component analysis
Noe, Brian J.; Ham, Fredric M. (2001-08-16)A system is developed for tracking moving objects though natural scenery. A technique is presented for performing change detection on imagery to determine the difference between two images or a sequence of images. Form ...