Algorithms for QAM Signal Classification Using Maximum Likelihood Approach Based on the Joint Probability Densities of Phases and amplitudes

In this paper we present Discriminative Random Fields (DRF), a discrim- inative framework for the classification of natural image regions by incor- porating neighborhood spatial dependencies in the labels as well as the observed data. The proposed mo

Abstract—In slow frequency hopping systems, it is critical to detect, classify, and mitigate interference, as it degrades the system performance. Generalized likelihood ratio test algorithm was proposed for the detection of interference. Howeve