Title :
On the Generation of Gaussian Noise
Author :
Nadarajah, Saralees ; Kotz, Samuel
Author_Institution :
Sch. of Math., Manchester Univ.
fDate :
3/1/2007 12:00:00 AM
Abstract :
The paper by Chapeau-Blondeau and Monir [IEEE Trans. Signal Process., vol.50, no.9, p.2160-5, 2002 September] addresses the problem of synthesizing a generalized Gaussian noise with exponent 1/2 by means of a nonlinear memoryless transformation applied to a uniform noise. The transformation involves the Lambert W function and the computation of this function required development of a rational approximation as well as a C program. Here, we show that same could be performed more easily for a generalized Gaussian noise with any exponent
Keywords :
Gaussian noise; gamma function; generalized Gaussian noise; Data analysis; Distribution functions; Gaussian noise; Mathematics; Packaging; Probability density function; Signal processing; Software packages; Generalized Gaussian noise; incomplete gamma function; inverse of the regularized incomplete gamma function; regularized incomplete gamma function;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2006.888061