| dc.contributor.author |
Arnold, M.J. |
|
| dc.contributor.author |
Zoubir, A.M. |
|
| dc.contributor.author |
Boashash, B |
|
| dc.date.accessioned |
2012-05-07T15:58:06Z |
|
| dc.date.available |
2012-05-07T15:58:06Z |
|
| dc.date.issued |
1995-06 |
|
| dc.identifier.citation |
Proceedings of the International IEEE/ATHOS Signal Processing Workshop on Higher Order Statistics, Barcelona, Spain, June 1995 |
en_US |
| dc.identifier.uri |
http://hdl.handle.net/10576/10822 |
|
| dc.description |
This paper describes a methodology for the application of characteristic functions to problems involving statistical characterisation.
(Other relevant details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354).
In addition, 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). |
en_US |
| dc.description.abstract |
In this paper we consider the problem of estimating the
characteristic function in detail, basing our formulation upon
kernel probability density function estimation. Under appropriate
assumptions we derive a series of (mean-square error)
optimum kernel characteristic function estimators and
implement them showing clearly the Significant improvements
possible. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.subject |
pdf estimation |
en_US |
| dc.subject |
probability density function |
en_US |
| dc.subject |
characteristic function |
en_US |
| dc.subject |
cf estimation |
en_US |
| dc.subject |
optimum kernel |
en_US |
| dc.subject |
random processes characterization |
en_US |
| dc.subject |
kernel density estimation |
en_US |
| dc.subject |
cf estimator |
en_US |
| dc.subject |
higher order kernel function |
en_US |
| dc.subject |
cumulant |
en_US |
| dc.subject |
data dependent cf estimator |
en_US |
| dc.subject |
statistical characterization |
en_US |
| dc.title |
Estimation of the Characteristic Function |
en_US |
| dc.type |
Article |
en_US |