Abstract
The new generic feature representation approach was utilized for Gaussian recognition. Approach consists of using simultaneously two new recognition features: real and imaginary Fourier components with taking into account the covariance between features.
Advanced time-frequency technique, short time Fourier transform was considered.
The recognition effectiveness between the new approach and Hartley based approach was compared. It was shown for Gaussian recognition that Hartley approach is not an optimal and is not even a particular case of the proposed approach. The use of the proposed approach provides an essential effectiveness gain in comparison with Hartley approach.
| Original language | English |
|---|---|
| Pages (from-to) | 2849-2853 |
| Number of pages | 5 |
| Journal | Pattern Recognition |
| Volume | 36 |
| Issue number | 12 |
| Early online date | 14 Aug 2003 |
| DOIs | |
| Publication status | Published - Dec 2003 |
| Externally published | Yes |