| dc.contributor.author |
Jones, G |
|
| dc.contributor.author |
Boashash, B |
|
| dc.date.accessioned |
2011-08-09T13:26:46Z |
|
| dc.date.available |
2011-08-09T13:26:46Z |
|
| dc.date.issued |
1991 |
|
| dc.identifier.citation |
Proc. SPIE 1566, 167 (1991); |
en_US |
| dc.identifier.other |
doi:10.1117/12.49819 |
|
| dc.identifier.uri |
http://hdl.handle.net/10576/10733 |
|
| dc.description |
(The most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia., and then continuously updated). A companion is the comprehensive book on Time-Frequency Signal Analysis and Processing available at: http://www.elsevier.com/locate/isbn/0080443354 |
en_US |
| dc.description.abstract |
This paper presents a review of some concepts associated with time-frequency distributions-- the instantaneous frequency, group delay, instantaneous bandwidth, and marginal properties-- and generalizes them in time-frequency via rotation of coordinates. This work emphasizes the need to examine time-frequency distributions in the general time-frequency plane, rather than restricting oneself to a time and/or frequency framework. This analysis leads to a generalized uncertainty principle, which has previously been introduced in radar theory. This uncertainty principle is invariant under rotation in the time-frequency plane, and should be used instead of the traditional definition of Gabor. It is desired to smooth a time-frequency distribution that is an energy density function into one that is an energy function. Most distributions are combinations of density and energy functions but the Wigner-Ville distribution is purely a density function. By using a local version of the generalized uncertainty principle, the Wigner- Ville distribution is smoothed into a signal dependent spectrogram using an iterative algorithm. It is believed that this procedure may represent, in some way an optimum removal of signal uncertainty in the time-frequency plane. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.subject |
Instantaneous parameters |
en_US |
| dc.subject |
short-time Fourier Transform |
en_US |
| dc.subject |
time-frequency analysis |
en_US |
| dc.subject |
instantaneous frequency |
en_US |
| dc.subject |
instantaneous bandwidth |
en_US |
| dc.subject |
time-frequency distributions |
en_US |
| dc.subject |
FM signals |
en_US |
| dc.subject |
time delay |
en_US |
| dc.subject |
group-delay |
en_US |
| dc.subject |
rotation invariance |
en_US |
| dc.subject |
IF |
en_US |
| dc.subject |
IB |
en_US |
| dc.subject |
quadratic TFDs |
en_US |
| dc.subject |
uncertainty principle |
en_US |
| dc.subject |
circular kernel |
en_US |
| dc.subject |
localised uncertainty |
en_US |
| dc.subject |
signal dependent TFDs |
en_US |
| dc.subject |
quadratic phase |
en_US |
| dc.subject |
generalized uncertainty principle |
en_US |
| dc.title |
Instantaneous quantities and uncertainty concepts for signal-dependent time-frequency distributions |
en_US |
| dc.type |
Article |
en_US |