Abstract
This paper suggests an improvement to the multiple window (MW) spectrogram. The improvement was observed when redefining the MW spectrogram in a quadratic time-frequency distribution framework. This alternate view permits the MW method to be interpreted as an application of a single ambiguity domain filter, that consists of the average of each window sequence, to the ambiguity representation of the signal. In addition, the MW spectrogram can be improved by extending the ambiguity domain filter along the Doppler lag (v) axis. This enhanced MW spectrogram has lower variance and bias when estimating several signals in the presence of additive white Gaussian noise, while retaining the desirable properties of the spectrogram such as realness, non-negativity and minimal cross-terms.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005 |
| Pages | 651-654 |
| Number of pages | 4 |
| Volume | 2 |
| DOIs | |
| Publication status | Published - 2005 |
| Event | 8th International Symposium on Signal Processing and its Applications, ISSPA 2005 - Sydney, Australia Duration: Aug 28 2005 → Aug 31 2005 |
Other
| Other | 8th International Symposium on Signal Processing and its Applications, ISSPA 2005 |
|---|---|
| Country | Australia |
| City | Sydney |
| Period | 8/28/05 → 8/31/05 |
ASJC Scopus subject areas
- Engineering(all)
Cite this
An improvement to the multiple window spectrogram using quadratic time-frequency distributions. / Stevenson, N.; Mesbah, M.; Boashash, B.
Proceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005. Vol. 2 2005. p. 651-654 1581022.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An improvement to the multiple window spectrogram using quadratic time-frequency distributions
AU - Stevenson, N.
AU - Mesbah, M.
AU - Boashash, B.
PY - 2005
Y1 - 2005
N2 - This paper suggests an improvement to the multiple window (MW) spectrogram. The improvement was observed when redefining the MW spectrogram in a quadratic time-frequency distribution framework. This alternate view permits the MW method to be interpreted as an application of a single ambiguity domain filter, that consists of the average of each window sequence, to the ambiguity representation of the signal. In addition, the MW spectrogram can be improved by extending the ambiguity domain filter along the Doppler lag (v) axis. This enhanced MW spectrogram has lower variance and bias when estimating several signals in the presence of additive white Gaussian noise, while retaining the desirable properties of the spectrogram such as realness, non-negativity and minimal cross-terms.
AB - This paper suggests an improvement to the multiple window (MW) spectrogram. The improvement was observed when redefining the MW spectrogram in a quadratic time-frequency distribution framework. This alternate view permits the MW method to be interpreted as an application of a single ambiguity domain filter, that consists of the average of each window sequence, to the ambiguity representation of the signal. In addition, the MW spectrogram can be improved by extending the ambiguity domain filter along the Doppler lag (v) axis. This enhanced MW spectrogram has lower variance and bias when estimating several signals in the presence of additive white Gaussian noise, while retaining the desirable properties of the spectrogram such as realness, non-negativity and minimal cross-terms.
UR - http://www.scopus.com/inward/record.url?scp=33847143635&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33847143635&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2005.1581022
DO - 10.1109/ISSPA.2005.1581022
M3 - Conference contribution
SN - 0780392434
SN - 9780780392434
VL - 2
SP - 651
EP - 654
BT - Proceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005
ER -