Automatic identification of digital modulation types
Signal Processing
Modulation recognition using artificial neural networks
Signal Processing
Digital modulation classification using constellation shape
Signal Processing
Automatic Modulation Recognition of Communication Signals
Automatic Modulation Recognition of Communication Signals
A Review of Wavelet Networks, Wavenets, Fuzzy Wavenets and their Applications
Advances in Computational Intelligence and Learning: Methods and Applications
A Neural Classifier Employing Biased Wavelets
SBRN '98 Proceedings of the Vth Brazilian Symposium on Neural Networks
Automatic digital modulation recognition using artificial neural network and genetic algorithm
Signal Processing - Special issue on independent components analysis and beyond
A wavelet- and neural network-based voice interface system for wheelchair control
International Journal of Intelligent Systems Technologies and Applications
Wavelet neural networks for function learning
IEEE Transactions on Signal Processing
Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations
IEEE Transactions on Neural Networks
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In this paper, a new discrete wavelet neural network (DWNN) and discrete wavelet adaptive network based fuzzy inference system (DWANFIS) methods are offered for automatic digital modulation recognition (ADMR) and the performance comparison between these new DWNN and DWANFIS intelligent systems are performed by using bior1.3, bior2.2, bior2.8, bior3.5, bior6.8, coif1, coif2, coif3, coif4, coif5, db3, db5, db8, db10, sym2, sym3, sym5, sym7, and sym8 wavelet decomposition filters, respectively. Moreover in this study, discrete wavelet transform (DWT) and adaptive wavelet entropy are used in feature extraction stages of these intelligent systems. The digital modulation types used in this study are ASK2, ASK4, ASK8, FSK2, FSK4, FSK8, PSK2, PSK4, and PSK8. Here, mean correct recognition rates for digital modulation recognition were obtained 96.51% and 90.24% by using DWNN and DWANFIS intelligent systems, respectively.