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Abstract
When resolution is a primary requirement in high performance spectroscopy systems, the signal pulse filtering should approach the theoretical optimum weighting function. This goal, almost impossible to reach with analog filtering especially when 1 ƒ noise is dominant, is achieved by the presented digital signal processor. It synthesizes the optimum weighting function by exploiting experimentally measured noise. The energy resolution dependence on the experimental settings is reported. Those include the number of samples acquired per pulse, the sampling frequency and the bandwidth of the antialiasing filter. An experimental comparison against the best analog filter shows an improvement of more than 10% in energy resolution.
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