Abstract
The concern here is of retrieving damped harmonics and polynomial phase signals in the presence of additive noise. The damping function is not limited to the exponential model, and in certain cases, the additive noise does not have to be white. Three classes of algorithms are presented, namely DFT based, Kumaresan-Tufts type extensions, and subspace variants including the MUSIC algorithm. Preference should be based on the available data length and frequency separations. In addition, retrieval of self coupled damped harmonics, which may be present when nonlinearities exist in physical systems, is investigated. Simulation examples illustrate main points of the paper.
Original language | English (US) |
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Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
Editors | Franklin T. Luk |
Publisher | Society of Photo-Optical Instrumentation Engineers |
Pages | 213-224 |
Number of pages | 12 |
Volume | 2296 |
ISBN (Print) | 0819416207 |
State | Published - Dec 1 1994 |
Event | Advanced Signal Processing: Algorithms, Architectures, and Implementations V - San Diego, CA, USA Duration: Jul 24 1994 → Jul 27 1994 |
Other
Other | Advanced Signal Processing: Algorithms, Architectures, and Implementations V |
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City | San Diego, CA, USA |
Period | 7/24/94 → 7/27/94 |