Pseudo Affine Wigner Distributions
| dc.citation.bibtexName | inproceedings | en_US |
| dc.citation.conferenceName | IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) | en_US |
| dc.citation.firstpage | 1423 | |
| dc.citation.lastpage | 1426 | |
| dc.citation.location | Atlanta, GA | en_US |
| dc.citation.volumeNumber | 3 | en_US |
| dc.contributor.author | Goncalves, Paulo | 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 | 2007-10-31T00:44:37Z | |
| dc.date.available | 2007-10-31T00:44:37Z | |
| dc.date.issued | 1996-05-01 | en |
| dc.date.modified | 2006-06-21 | en_US |
| dc.date.note | 2004-11-04 | en_US |
| dc.date.submitted | 1996-05-01 | en_US |
| dc.description | Conference Paper | en_US |
| dc.description.abstract | In this paper, we introduce a new set of tools for time-varying spectral analysis: the pseudo affine Wigner distributions. Based on the affine Wigner distributions of J. and P. Bertrand, these new time-scale distributions support efficient online operation at the same computational cost as the continuous wavelet transform. Moreover, they take advantage of the proportional bandwidth smoothing inherent in the sliding structure of their implementation to suppress cumbersome interference components. To formalize their place within the echelon of the affine class of time-scale distributions, we extend the definition of this class and introduce other natural generators. | en_US |
| dc.identifier.citation | P. Goncalves and R. G. Baraniuk, "Pseudo Affine Wigner Distributions," vol. 3, 1996. | |
| dc.identifier.doi | http://dx.doi.org/10.1109/ICASSP.1996.543928 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/19898 | |
| dc.language.iso | eng | |
| dc.subject | Temporary | * |
| dc.subject.keyword | Temporary | en_US |
| dc.subject.other | Time Frequency and Spectral Analysis | en_US |
| dc.title | Pseudo Affine Wigner Distributions | en_US |
| dc.type | Conference paper | |
| dc.type.dcmi | Text |