Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic identification of digital modulation types
Signal Processing
Modulation recognition using artificial neural networks
Signal Processing
Wavelet applications in medicine
IEEE Spectrum
Support Vector Machines for 3D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital modulation classification using constellation shape
Signal Processing
Automatic Modulation Recognition of Communication Signals
Automatic Modulation Recognition of Communication Signals
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Fingerprint Classification with Combinations of Support Vector Machines
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Texture Classification Using Dominant Wavelet Packet Energy Features
SSIAI '00 Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation
Automatic digital modulation recognition using artificial neural network and genetic algorithm
Signal Processing - Special issue on independent components analysis and beyond
A decision support system based on support vector machines for diagnosis of the heart valve diseases
Computers in Biology and Medicine
Entropy-based algorithms for best basis selection
IEEE Transactions on Information Theory - Part 2
Expert Systems with Applications: An International Journal
An automatic diagnosis system based on thyroid gland: ADSTG
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An automatic diabetes diagnosis system based on LDA-Wavelet Support Vector Machine Classifier
Expert Systems with Applications: An International Journal
Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
Expert Systems with Applications: An International Journal
A New Expert System for Diagnosis of Lung Cancer: GDA--LS_SVM
Journal of Medical Systems
Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy
Digital Signal Processing
Automatic RNA virus classification using the Entropy-ANFIS method
Digital Signal Processing
Hi-index | 12.06 |
In this study, a novel application of wavelet packet energy-multicass support vector machine (WPE-MSVM) is proposed to perform automatic modulation classification of digital radio signals. In this approach, first, the discrete wavelet packet transforms (DWPTs) of digital modulated radio signal types are performed. Second, the wavelet packet energies of these DWPTs are calculated. Third, these wavelet packet energy features are given to inputs of multiclass support vector machine (MSVM) classifier. Fourth, test data is given to inputs of MSVM classifier for evaluating the classification performance of this proposed classification approach. Here, db2, db3, db4, db5, db8, sym2, sym3, sym5, sym7, sym8, bior1.3, bior2.2, bior2.8, coif1 and coif5 wavelet packet decomposition filters are separately used for DWPT of these digital modulated radio signals, respectively. Thus, performance comparisons of these wavelet packet decomposition filters for digital radio signal classification are performed by using wavelet packet energy features. The digital radio signal types used in this study are 9 types, which are ASK-2, ASK-4, ASK-8, FSK-2, FSK-4, FSK-8, PSK-2, PSK-4 and PSK-8. These experimental studies are realized by using total 2250 digital modulated signals for these digital radio signal types. The rate of mean correct classification is about 90% for the sample digital modulated signals.