<span lang="EN-US">The automatic modulation classification (AMC) plays an important and necessary role in the truncated wireless signal, which is used modern communications. The proposed convolution neural network (CNN) for AMC based on a method of feature expansion by integrating I/Q (time form) with r/Ɵ (polar order to take advantage two things: first, helps increase features; second th...

Convolutional neural network (CNN) models have recently demonstrated impressive classification and recognition performance on image video processing scope. In this paper, we investigate the application of CNN to identifying modulation classes for digitally modulated signals. First, received baseband data samples signal are gathered up transformed generate constellation-like training images conv...

Adaptive modulation is a method to increase the data capacity, throughput and efficiency of time division duplexed wireless communication systems. In adaptive modulation, the transmitter continually monitors the dynamic channel and adjusts the transmission parameters such as modulation order, coding rate etc. accordingly. Blind modulation detection schemes play an important role in adaptive sys...