IEEE Vehicular Technology Magazine · 2011 · 49 citations · 34 references
EngineeringComputer ScienceElectrical EngineeringDigital CommunicationMachine LearningWireless CommunicationsCognitive RadioDigital Signal ProcessingModulationSignal Detection TheorySignal ProcessingWireless Channel ModelingAdditive NoiseCognitive Radio NetworksDigital ModulationModulation ClassificationNeural Network ModelingPrimary User DetectionSignal ClassificationWhite Noise
This article introduces the application of automatic modulation classification (AMC) algorithm for the signal sensing and detection of the primary user (PU) in cognitive radio (CR) environments. The algorithm was developed using an artificial neural network (ANN). Computer simulations of 12 combined analog and digitally modulated signals corrupted by additive white Gaussian noise (AWGN) have been carried out.
34
A scaled conjugate gradient algorithm for fast supervised learning
Martin F. Møller · Neural Networks · 1993 · 4.1K citations