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TSP
2010
13 years 1 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»
13 years 2 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»
14 years 1 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»
13 years 5 months ago
Condition Numbers of Gaussian Random Matrices
Zizhong Chen, Jack Dongarra
JC
2008
68views more  JC 2008»
13 years 7 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