Deconvolution of Microfluorometric Histograms with B Splines
用B样条对微量荧光测定直方图进行反卷积
We consider the problem of estimating a probability density from observations from that density which are further contaminated by random errors. We propose a method of estimation using spline functions, discuss the numerical implementation of the method, and prove its consistency. The problem is motivated by the analysis of DNA content obtained by microfluorometry, and an example of such an analysis is included.