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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guaning Su |
| Copyright Year | 1984 |
| Description | Author affiliation: Defense Science Organization, Ministry of Defence, Singapore (Guaning Su) |
| Abstract | The signal subspace approach was introduced by Schmidt [1] for the narrowband source location problem and generalized by Su and Morf ([2] - [5]) for wideband source location and multidimensional spectral estimation. Many authors have made contributions to related methods of spectral estimation and source location, generally using eigenstructure or singular value decomposition. In this paper three methods of spectral estimation are related to the signal subspace approach. Besides demonstrating the common thread in their development, the signal subspace approach suggests immediate modifications and generalizations of the methods. The methods are those of Prony [6], Tufts-Kumaresan [7] and Cadzow [8]. |
| Starting Page | 204 |
| Ending Page | 207 |
| File Size | 76352 |
| Page Count | 4 |
| File Format | |
| DOI | 10.1109/ICASSP.1984.1172414 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1984-03-19 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal analysis Algorithm design and analysis Sampling methods Additive noise Equations Position measurement Narrowband Wideband Multidimensional systems Singular value decomposition |
| Content Type | Text |
| Resource Type | Article |
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