Radar HRRP statistical recognition based on hypersphere model
Signal Processing
Research on algorithms of gabor wavelet neural network based on parallel structure
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Defection recognition of cold rolling strip steel based on ACO algorithm with quantum action
Transactions on Edutainment VII
Radar target recognition based on fuzzy optimal transformation using high-resolution range profile
Pattern Recognition Letters
| Hi-index | 35.68 |
A Gabor atom neural network approach is proposed for signal classification. The Gabor atom network uses a multilayer feedforward neural network structure, and its input layer constitutes the feature extraction part, whereas the hidden layer and the output layer constitute the signal classification part. From the physics point of view, it is shown that the time-shifted, frequency-modulated, and scaled Gaussian function is available for a basic model for the signal of high-resolution radar. Two experiment examples show that the Gabor atom network approach has a higher recognition rate in radar target recognition from range profiles as compared with several existing methods