dc.contributor.author |
Potamianos, A |
en |
dc.contributor.author |
Maragos, P |
en |
dc.date.accessioned |
2014-03-01T01:42:17Z |
|
dc.date.available |
2014-03-01T01:42:17Z |
|
dc.date.issued |
1994 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/23747 |
|
dc.subject |
Amplitude Modulated |
en |
dc.subject |
Analytic Signal |
en |
dc.subject |
Computational Complexity |
en |
dc.subject |
Energy Requirement |
en |
dc.subject |
Estimation Error |
en |
dc.subject |
Frequency Modulated |
en |
dc.subject |
Instantaneous Frequency |
en |
dc.subject |
Integrated Approach |
en |
dc.subject |
Band Pass Filter |
en |
dc.subject |
Hilbert Transform |
en |
dc.title |
A comparison of the energy operator and the Hilbert transform approach to signal and speech demodulation |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/0165-1684(94)90169-4 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/0165-1684(94)90169-4 |
en |
heal.publicationDate |
1994 |
en |
heal.abstract |
The Hilbert transform together with Gabor's analytic signal provides a standard linear integral approach to estimate the amplitude envelope and instantaneous frequency of signals with a combined amplitude modulation (AM) and frequency modulation (FM) structure. A recent alternative approach uses a nonlinear differential 'energy' operator to track the energy required to generate an AM-FM signal and separate it into amplitude |
en |
dc.identifier.doi |
10.1016/0165-1684(94)90169-4 |
en |