Title :
Blind MEM PDF Estimation for Detection in the Presence of Unknown Non-Gaussian Noise
Author :
Saberali, S. Mohammad ; Amindavar, Hamidreza
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
In this letter we develop a new blind binary level detection in presence of unknown non-Gaussian noise using maximum entropy method (MEM). We show that the performance of the designed detector based on blind maximum entropy (BME) method is near to the one that is designed based on best entropy estimate (BEE) criterion.
Keywords :
Gaussian noise; blind source separation; estimation theory; maximum entropy methods; probability; best entropy estimate criterion; blind MEM PDF estimation; blind binary level detection; blind maximum entropy method; designed detector; unknown nonGaussian noise; Maximum entropy method; maximum likelihood detection; non-Gaussian noise;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2027568
