期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN:2277-6451
电子版ISSN:2277-128X
出版年度:2013
卷号:3
期号:6
出版社:S.S. Mishra
摘要:In this paper we propose an algorithm for the classification of QAM signal in the presence of Gaussian noise. The additive noise is modeled by Gaussian mixture distribution. A log likelihood algorithm is used to classifying the signal on the basis of decision ¨Ctheoretic approach and develop a schematic structure of classifier for M-array QAM signals. The performance is evaluated in terms of probability of successful classification. We evaluate the performance of the classifier based on the amplitude density function of received signal