Modeling the distribution of DCT coefficients for JPEG reconstruction
Image Communication
On the problem of bandwidth partitioning in FDD block-fading single-user MISO/SIMO systems
EURASIP Journal on Advances in Signal Processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Game theory-based resource allocation strategy for clustering based wireless sensor network
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Precise and fast computation of Lambert W-functions without transcendental function evaluations
Journal of Computational and Applied Mathematics
Numerical computation of inverse complete elliptic integrals of first and second kinds
Journal of Computational and Applied Mathematics
Power Lindley distribution and associated inference
Computational Statistics & Data Analysis
Wireless Personal Communications: An International Journal
Relative entropy fuzzy c-means clustering
Information Sciences: an International Journal
Hi-index | 35.68 |
We address the problem of synthesizing a generalized Gaussian noise with exponent 1/2 by means of a nonlinear memoryless transformation applied to a uniform noise. We show that this transformation is expressable in terms of a special function known under the name of the Lambert W function. We review the main methods for numerical evaluation of the relevant branch of the (multivalued) Lambert W function with controlled accuracy and complement them with an original rational function approximation. Based on these methods, synthesis of the generalized Gaussian noise can be performed with arbitrary accuracy. We construct a simple and fast evaluation algorithm with prescribed accuracy, which is especially suited for Monte Carlo simulation requiring large numbers of realizations of the generalized Gaussian noise.