Abstract
A novel method of time-frequency analysis method called time-frequency-adaptive optimal-kernel time-frequency representation (TFR) is proposed to suppress the cross-term interference caused by components at the same time. Unlike signal dependent TFR and time-adaptive optimal-kernel TFR, the time-frequency-adaptive optimal-kernel TFR obtains local ambiguity function by applying 2D windowed Fourier transform to signal's Wigner-Ville distribution, which allows the time-frequency-adaptive optimal-kernel TFR to adapt its kernel function not only to the time but also to the frequency. By applying to synthetic signal analysis, the proposed method shows a more legible result than time-adaptive optimal-kernel TFR and exhibits a better cross-term suppressing capability.
| Original language | English |
|---|---|
| Pages (from-to) | 22-26 |
| Number of pages | 5 |
| Journal | Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics |
| Volume | 32 |
| Issue number | 1 |
| State | Published - Jan 2010 |
Keywords
- Local ambiguity function
- Radial Gaussian kernel
- Time-frequency analysis
- Wigner-Ville distribution
Fingerprint
Dive into the research topics of 'Time-frequency analysis based on time-frequency-adaptive optimal-kernel'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver