A new iterative technique for the deconvolution of real data
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A fast new deconvolution technique has been developed which employs a complex iterative scheme in order to deconvolve severely broadened noisy data. A great many computer-simulated experiments have been made using the iterative scheme in order to test its reliability and stability in many different situations. It is found to be extremely reliable in the reclaiming of partially resolved multi-featured spectra and can be used with any type of instrumental profile. Deconvolution of single Gaussian features are achieved in 5% noise conditions, where the instrumental profile is 5 times broader than the spectral features to be reclaimed.
KeywordsSpectral Feature Real Data Deconvolution Iterative Scheme Noisy Data
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