Name
Abstract | ||
|---|---|---|
The Wigner distribution is a signal transformation that exhibits some very interesting properties with regard to time-frequency signal analysis. The most important of these properties are discussed. The Wigner distribution is then compared with other time-frequency signal representations, such as the spectrogram. It appears that the Wigner distribution is better able to display non-stationarities in the signals. |
Year | DOI | Venue |
|---|---|---|
1981 | 10.1109/ICASSP.1981.1171331 | Acoustics, Speech, and Signal Processing, IEEE International Conference ICASSP '81. |
Keywords | Field | DocType |
spectrogram,time frequency analysis,wigner distribution,neodymium,signal analysis,fourier transforms,displays | Signal processing,Wigner distribution function,Pattern recognition,Spectrogram,Time frequency signal analysis,Algorithm,Speech recognition,Fourier transform,Artificial intelligence,Time–frequency analysis,Mathematics,Signal transfer function | Conference |
Volume | Citations | PageRank |
6 | 6 | 45.54 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Theo A. C. M. Claasen | 1 | 17 | 62.37 |
| Wolfgang F. G. Mecklenbräuker | 2 | 8 | 46.68 |