Deconvolution method based on shape variation
Mario Perrone, Hervé Rix · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 1992
The problem of signal deconvolution occurs in many applications, particularly in signal averaging when a jitter effect must be eliminated. We propose an original deconvolution method applied to this case. The principle is to replace deconvolution by the estimation of the shape variation due to convolution by means of the Distribution Function Method. As an example we show the restoration of a double peak smoothed in a single one by convolution.