Title :
An application of a distribution identification algorithm to signal detection problems
Author_Institution :
Dept. of Comput. Eng., Ege Univ., Izmir, Turkey
Abstract :
A computer program based on a new algorithm for univariate and multivariate distribution identification is presented. The underlying algorithm is proposed as a useful tool for the analysis of the signal detection problems. A computationally simple method for parameter estimation is considered and a general method for generating correlated non-Gaussian noise is also provided
Keywords :
correlation methods; interference (signal); parameter estimation; signal detection; statistical analysis; algorithm; computer program; correlated nonGaussian noise; distribution identification algorithm; multivariate distribution identification; parameter estimation; signal detection; univariate distribution identification; Algorithm design and analysis; Application software; Distributed computing; Gaussian noise; Noise generators; Parameter estimation; Signal analysis; Signal detection; Signal processing; Statistical distributions; Testing;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342510
