An Adaptive Optimal-Kernel Time-Frequency Representation
| dc.citation.bibtexName | article | en_US |
| dc.citation.firstpage | 2361 | en_US |
| dc.citation.issueNumber | 10 | en_US |
| dc.citation.journalTitle | IEEE Transactions on Signal Processing | en_US |
| dc.citation.lastpage | 2371 | en_US |
| dc.citation.volumeNumber | 43 | en_US |
| dc.contributor.author | Jones, Douglas L. | 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 | 2007-10-31T00:48:22Z | en_US |
| dc.date.available | 2007-10-31T00:48:22Z | en_US |
| dc.date.issued | 1995-10-01 | en_US |
| dc.date.modified | 2006-07-24 | en_US |
| dc.date.submitted | 2004-01-09 | en_US |
| dc.description | Journal Paper | en_US |
| dc.description.abstract | Time-frequency representations with fixed windows or kernels figure prominently in many applications, but perform well only for limited classes of signals. Representations with signal- dependent kernels can overcome this limitation. However, while they often perform well, most existing schemes are block-oriented techniques unsuitable for on-line implementation or for tracking signal components with characteristics that change with time. The time-frequency representation developed here, based on a signal-dependent radially Gaussian kernel that adapts over time, overcomes these limitations. The method employs a short-time ambiguity function both for kernel optimization and as an intermediate step in computing constant-time slices of the representation. Careful algorithm design provides reasonably efficient computation and allows on-line implementation. Certain enhancements, such as cone-kernel constraints and approximate retention of marginals, are easily incorporated with little additional computation. While somewhat more expensive than fixed-kernel representations, this new technique often provides much better performance. Several examples illustrate its behavior on synthetic and real-world signals. | en_US |
| dc.identifier.citation | D. L. Jones and R. G. Baraniuk, "An Adaptive Optimal-Kernel Time-Frequency Representation," <i>IEEE Transactions on Signal Processing,</i> vol. 43, no. 10, 1995. | en_US |
| dc.identifier.doi | http://dx.doi.org/10.1109/78.469854 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/19985 | en_US |
| dc.language.iso | eng | en_US |
| dc.subject | Temporary | en_US |
| dc.subject.keyword | Temporary | en_US |
| dc.subject.other | Time Frequency and Spectral Analysis | en_US |
| dc.title | An Adaptive Optimal-Kernel Time-Frequency Representation | en_US |
| dc.type | Journal article | en_US |
| dc.type.dcmi | Text | en_US |