Multiple Window Time Frequency Analysis
| dc.citation.bibtexName | inproceedings | en_US |
| dc.citation.conferenceName | IEEE-SP International Symposium on Time-frequency and Time-scale Analysis | en_US |
| dc.citation.firstpage | 173 | en_US |
| dc.citation.lastpage | 176 | en_US |
| dc.citation.location | Paris, France | en_US |
| dc.contributor.author | Bayram, Metin | en_US |
| dc.contributor.author | Baraniuk, Richard G. | en_US |
| dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
| dc.date.accessioned | 2007-10-31T00:36:49Z | en_US |
| dc.date.available | 2007-10-31T00:36:49Z | en_US |
| dc.date.issued | 1996-06-01 | en_US |
| dc.date.modified | 2006-06-21 | en_US |
| dc.date.note | 2004-01-09 | en_US |
| dc.date.submitted | 1996-06-01 | en_US |
| dc.description | Conference Paper | en_US |
| dc.description.abstract | We propose a robust method for estimating the time-varying spectrum of a non-stationary random process. Our approach extends Thomson's powerful multiple window spectrum estimation scheme to the time-frequency and time-scale planes. The method refines previous extensions of Thomson's method through optimally concentrated window and wavelet functions and a statistical test for extracting chirping line components. | en_US |
| dc.identifier.citation | M. Bayram and R. G. Baraniuk, "Multiple Window Time Frequency Analysis," 1996. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/19726 | en_US |
| dc.language.iso | eng | en_US |
| dc.subject | extracting chirping line components | en_US |
| dc.subject.keyword | extracting chirping line components | en_US |
| dc.subject.other | Time Frequency and Spectral Analysis | en_US |
| dc.title | Multiple Window Time Frequency Analysis | en_US |
| dc.type | Conference paper | en_US |
| dc.type.dcmi | Text | en_US |