Deconvolution by poisson transformation

When the process of deconvolution or inverse filtering is implemented digitally, a high sampling rate can accentuate the sensitivity to small data errors which besets deconvolution. Conversely, a low sampling rate can cause high analog frequencies to be misrepresented as lower alias frequencies within the digital frequency baseband. This paper considers using alias-free digital signals generated by Poisson transformation to avert the trade-off between these two complications.