Classifying Emitters in the High Frequency Range with Self-Organizing Maps.
Karsten FanghänelKuno KöllmannFrank RapsHans Christoph ZeidlerPublished in: IJCNN (6) (2000)
Keyphrases
- high frequency
- self organizing maps
- low frequency
- neural network
- visual quality
- competitive learning
- high resolution
- wavelet transform
- high frequencies
- neural gas
- subband
- low pass
- unsupervised learning
- input data
- discrete wavelet transform
- high frequency components
- face recognition
- network anomaly detection
- frequency band
- k means
- object recognition
- low bit rate coding
- computer vision
- machine learning