dc.contributor.author |
Maragos, P |
en |
dc.contributor.author |
Kaiser, J |
en |
dc.contributor.author |
Quatieri, T |
en |
dc.date.accessioned |
2014-03-01T01:41:39Z |
|
dc.date.available |
2014-03-01T01:41:39Z |
|
dc.date.issued |
1993 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/23563 |
|
dc.subject |
Bandpass Filter |
en |
dc.subject |
Continuous Time |
en |
dc.subject |
Discrete Time |
en |
dc.subject |
Efficient Algorithm |
en |
dc.subject |
Energy Production |
en |
dc.subject |
Frequency Modulated |
en |
dc.subject |
Instantaneous Frequency |
en |
dc.subject |
Speech Analysis |
en |
dc.subject |
Theoretical Analysis |
en |
dc.subject |
Time Varying |
en |
dc.title |
Energy separation in signal modulations with application to speech analysis |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1109/78.277799 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/78.277799 |
en |
heal.publicationDate |
1993 |
en |
heal.abstract |
An efficient solution to the fundamental problem of estimating the time-varying amplitude envelope and instantaneous frequency of a real-valued signal that has both an AM and FM structure is provided. Nonlinear combinations of instantaneous signal outputs from the energy operator are used to separate its output energy product into its AM and FM components. The theoretical analysis is done first |
en |
heal.journalName |
IEEE Transactions on Signal Processing |
en |
dc.identifier.doi |
10.1109/78.277799 |
en |