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We propose a new method of image fusion that utilizes the recently developed theory of compressive sensing. Compressive sensing indicates that a signal that is sparse in an appropriate set of basis vectors may be recovered almost exactly from a few samples via l1-minimization if the system matrix satisfies some conditions. These conditions are satisfied with high probability for Gaussian-like vectors...
In the best of circumstances, change detection (CD) is accomplished using measurements from the same instrument and under similar collection circumstances. Complications in the CD process arise when the variability in the collection process is not minimized. Variations between collected images and a lack of precise corresponding ground truth make accurate evaluation of a given CD method imprecise...
We used principal component analysis to derive the respiratory rate from single lead ECGs. In this algorithm the respiratory induced beat-to-beat variability of the ECG is described by the coefficients of the principal components. Subjects were asked to breathe at different rates and naturally while respiration and ECG were recorded. Breathing rate, determined by Fourier analysis, was compared for...
Abstract A new method of using Vis/NIR spectroscopy technique to identify the varieties of red wines was studied. Through comparing modeling performance built by different amounts of independent components, 20 independent components (ICs) extracted by independent components analysis (ICA) were employed as the inputs of the BP neural networks and were consider to be important parameter for calibration...
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