Time Frequency Detectors
| dc.citation.bibtexName | inproceedings | en_US |
| dc.citation.conferenceName | Conference on Information Sciences and Systems | en_US |
| dc.contributor.author | Sayeed, Akbar M. | en_US |
| dc.contributor.author | Jones, Douglas L. | en_US |
| dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
| dc.date.accessioned | 2007-10-31T01:04:16Z | en_US |
| dc.date.available | 2007-10-31T01:04:16Z | en_US |
| dc.date.issued | 1996-01-20 | en_US |
| dc.date.modified | 2004-01-22 | en_US |
| dc.date.note | 2004-01-09 | en_US |
| dc.date.submitted | 1996-01-20 | en_US |
| dc.description | Conference Paper | en_US |
| dc.description.abstract | Time-frequency representations (TFRs) provide a powerful and flexible structure for designing optimal detectors in a variety of nonstationary scenarios. In this paper, we describe a TFR-based framework for optimal detection of arbitrary second-order stochastic signals, with certain unknown or random nuisance parameters, in the presence of Gaussian noise. The framework provides a useful model for many important applications including machine fault diagnostics and radar/sonar. We emphasize a subspace-based formulation of such TFR detectors which can be exploited in a variety of ways to design new techniques. In particular, we explore an extension based on <i>multi-channel/sensor</i> measurements that are often available in practice to facilitate improved signal processing. In addition to potentially improved performance, the subspace-based interpretation of such multi-channel detectors provides useful information about the physical mechanisms underlying the signals of interest. | en_US |
| dc.identifier.citation | A. M. Sayeed and D. L. Jones, "Time Frequency Detectors," 1996. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/20331 | en_US |
| dc.language.iso | eng | en_US |
| dc.subject | second-order stochastic signals | en_US |
| dc.subject | Gaussian noise | en_US |
| dc.subject | multi-channel/sensor measurements | en_US |
| dc.subject.keyword | second-order stochastic signals | en_US |
| dc.subject.keyword | Gaussian noise | en_US |
| dc.subject.keyword | multi-channel/sensor measurements | en_US |
| dc.subject.other | Time Frequency and Spectral Analysis | en_US |
| dc.title | Time Frequency Detectors | en_US |
| dc.type | Conference paper | en_US |
| dc.type.dcmi | Text | en_US |
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