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
