Optimum filters from experimentally measured noise in high resolution nuclear spectroscopy
暂无分享,去创建一个
Abstract We introduce a general method for calculating the optimum filter for high-resolution nuclear spectroscopy starting from an experimentally measured noise spectrum. The method is based on fitting the experimental noise, recorded in a finite bandwidth, by a truncated Laurent series approximation. The procedure of evaluating the noise power spectral density and of synthesizing the corresponding optimum filter is fully developed and applied to a typical example.
[1] Athanasios Papoulis,et al. Probability, Random Variables and Stochastic Processes , 1965 .
[2] Angelo Geraci,et al. An automatic initialization procedure for real-time digital radiation spectrometry , 1998 .
[3] Angelo Geraci,et al. Automatic synthesis of optimum filters with arbitrary constraints and noises: a new method , 1996 .
[4] Angelo Geraci,et al. Optimum time-limited filters for input signals of arbitrary shape , 1997 .