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TSP
2010
14 years 6 months ago
A complex generalized Gaussian distribution: characterization, generation, and estimation
The generalized Gaussian distribution (GGD) provides a flexible and suitable tool for data modeling and simulation, however the characterization of the complex-valued GGD, in parti...
Mike Novey, Tülay Adali, Anindya Roy
CPC
2011
199views Education» more  CPC 2011»
14 years 6 months ago
Sub-Gaussian Tails for the Number of Triangles in G( n, p)
Let X be the random variable that counts the number of triangles in the binomial random graph G(n, p). We show that for some positive constant c, the probability that X deviates f...
Guy Wolfovitz
ICC
2007
IEEE
137views Communications» more  ICC 2007»
15 years 6 months ago
On the Simulation of Tikhonov Random Processes
Abstract— A novel, simple and efficient method for the generation of Tikhonov (a.k.a. von Mises) random variates is proposed. In the proposed method, circular variates of a pres...
Giuseppe Thadeu Freitas de Abreu
CORR
2008
Springer
116views Education» more  CORR 2008»
14 years 10 months ago
Condition Numbers of Gaussian Random Matrices
Zizhong Chen, Jack Dongarra
JC
2008
68views more  JC 2008»
14 years 11 months ago
On the number of minima of a random polynomial
We give an upper bound in O(d(n+1)/2 ) for the number of critical points of a normal random polynomial. The number of minima (resp. maxima) is in O(d(n+1)/2 )Pn, where Pn is the (...
Jean-Pierre Dedieu, Gregorio Malajovich