February 2011

Blind signal separation based on generalized Laplace distribution

Blind Signal Separation is the task of separating signals when only their mixtures are observed. Recently, Independent Component Analysis has become a favorite method of researchers for attacking this problem. We propose a new score function based on Generalized Laplace Distribution for the problem of blind signal separation for supergaussian and subgaussian. To estimate the parameters of such score function we used...

Author(s): M. EL-Sayed Waheed, Osama Abdo Mohamed and M. E. Abd El-Aziz

February 2011

Quality of service constrained task mapping and scheduling algorithm for wireless sensor networks

Blind Signal Separation is the task of separating signals when only their mixtures are observed. Recently, Independent Component Analysis has become a favorite method of researchers for attacking this problem. We propose a new score function based on Generalized Laplace Distribution for the problem of blind signal separation for supergaussian and subgaussian. To estimate the parameters of such score function we used...

Author(s): Medhat H. A. Awadalla and Rania R. Darwish