Title :
Gaussianization of random inputs by filtering plants: The case of poisson white and telegraph processes
Author :
Ching, ShiNung ; Meerkov, Semyon M. ; Runolfsson, Thordur
Author_Institution :
Dept. of Brain & Cognitive Sci., MIT, Cambridge, MA, USA
Abstract :
It is well known that low-pass filtering plants “harmonize” periodic inputs in the sense that the steady state response in close to harmonic. It has been observed, both experimentally and analytically, that low-pass filters “Gaussianize” some random inputs in the sense that the steady state response is close to being Gaussian. This Technical Note is intended to formalize the notion of Gaussianization and prove that it takes place for two types of input signals: Poisson white noise and telegraph processes. The general case is a subject of future work.
Keywords :
Gaussian noise; low-pass filters; telegraphy; white noise; Gaussianization; Poisson white noise; low-pass filtering plants; telegraph process; Artificial neural networks; Histograms; Linear systems; Random variables; Steady-state; White noise;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5717835