… AMC model are complementary to each 199 other. Therefore, the modulation classification
… Inspired by that, a novel hierarchical classification head is 202 proposed, which makes …

… Automatic modulation classification (AMC) lies at the core of cognitive radio and spectrum
… )-based AMC method with multi-feature fusion. First, the modulation signals are transformed …

… automatic modulation classification scheme can achieve better performance than the
benchmark schemes in terms of the classification … Automatic modulation classification (AMC) iden…

… Abstract—Automatic modulation classification (AMC) is of crucial importance for realizing
wireless intelligence communications. Many deep learning based models especially …

… Automatic modulation classification (AMC) is … AMC methods have achieved improved
accuracy performance for classifying analog modulation schemes, single-carrier-based modulation …

… Automatic modulation classification (AMC) represents an important integral part of modern
communication systems. While novel AMC … algorithm complexity of AMC algorithms based on …

… This work takes advantage of DL for effectively handling automatic modulation classification
(AMC), which is the fundamental function of numerous cognitive radio-based and spectrum …

… is proposed for robust automatic modulation classification (AMC). The classifier directly
utilizes in-phase and quadrature (I/Q) samples to identify the modulation type of received signal …

… The automatic modulation classification (AMC) plays an … The proposed convolution neural
network (CNN) for AMC is … to increase classification accuracy for higher order modulation due …

… ABSTRACT Automatic modulation classification (AMC) is an important technology in military
… focused on the AMC in additional white Gaussian noise channels, but the AMC in time-…