| dc.contributor.author |
Hussain, Z.M. |
|
| dc.contributor.author |
Boashash, B |
|
| dc.date.accessioned |
2012-03-06T17:50:41Z |
|
| dc.date.available |
2012-03-06T17:50:41Z |
|
| dc.date.issued |
2003 |
|
| dc.identifier.citation |
Time-Frequency Signal Analysis & Processing: A Comprehensive Reference, Elsevier Science, Oxford, 2003, Chapter 10, Article 10.3, pages 437-446 |
en_US |
| dc.identifier.isbn |
0080443354 |
|
| dc.identifier.isbn |
9780080443355 |
|
| dc.identifier.uri |
http://hdl.handle.net/10576/10795 |
|
| dc.description |
This Article presents the approach to IF estimation of the separate components of a multicomponent FM signal using TFD peaks location, and the required conditions on the selection of a suitable quadratic TFD.
(Additional 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 |
Concurrent IF estimation of the separate components of a multicomponent FM
signal using TFD peaks location requires conditions on the selection of a suitable
quadratic TFD. Required properties are: (1) high time-frequency resolution while
suppressing cross-terms efficiently, (2) the TFD to enable direct amplitude estima-
tion for the individual components, (3) the variance of the IF estimate using the
TFD should be a continuously decreasing function of the lag window length while
the bias is continuously increasing. Quadratic time-frequency distributions that
satisfy these conditions were presented and discussed. A constant-window tracking algorithm may not give a robust IF estimate if the IF changes rapidly with time
due to the effect of the higher-order derivatives of the IF law. Hence an adaptive
algorithm is used for robust multicomponent IF estimation. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Elsevier |
en_US |
| dc.subject |
Time-Frequency Peak Detection |
en_US |
| dc.subject |
AM |
en_US |
| dc.subject |
FM |
en_US |
| dc.subject |
time-frequency distributions |
en_US |
| dc.subject |
Instantaneous Frequency estimation |
en_US |
| dc.subject |
WVD |
en_US |
| dc.subject |
PWVD |
en_US |
| dc.subject |
RID |
en_US |
| dc.subject |
XWVD |
en_US |
| dc.subject |
Quadratic TFDs |
en_US |
| dc.subject |
time-frequency analysis |
en_US |
| dc.subject |
IF estimate variance |
en_US |
| dc.subject |
IF estimate mean |
en_US |
| dc.subject |
MBD |
en_US |
| dc.subject |
modified B distribution |
en_US |
| dc.subject |
Reduced Interference |
en_US |
| dc.subject |
time-frequency resolution |
en_US |
| dc.subject |
Amplitude estimation |
en_US |
| dc.subject |
Adaptive IF estimation |
en_US |
| dc.title |
IF Estimation for Multicomponent Signals |
en_US |
| dc.type |
Book chapter |
en_US |