Name
Abstract | ||
|---|---|---|
This paper presents a new concept of decomposition of a signal into component periodic waveforms. The singular value decomposition (SVD) is used for the detection of periodicity and separation of the component signals. The signal is configured for the sequential extraction of successively weaker components with different period lengths. The approach enjoys the numerical stability associated with SVD |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/78.388873 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
feature extraction,numerical stability,signal detection,signal processing,singular value decomposition,SVD,multiple pattern extraction,numerical stability,period lengths,periodic waveforms,periodicity detection,sequential extraction,signal components separation,signal decomposition,singular value decomposition,successively weaker components | Singular value decomposition,Signal processing,Periodic function,Mathematical optimization,Detection theory,Control theory,Feature extraction,Singular spectrum analysis,Periodic graph (geometry),Numerical stability,Mathematics | Journal |
Volume | Issue | ISSN |
43 | 6 | 1053-587X |
Citations | PageRank | References |
16 | 4.15 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P P Kanjilal | 1 | 66 | 19.54 |
| S. Palit | 2 | 16 | 4.15 |