Name
Title | ||
|---|---|---|
The singular value decomposition—applied in the modelling and prediction of quasiperiodic processes |
Abstract | ||
|---|---|---|
Singular value decomposition is used as a tool in the analysis of quasiperiodic processes. The prime orthogonal components are used to separate the regular and the irregular parts of the process. Linear prediction of the orthogonal components of the regular part leads to periodic prediction. For quasiperiodic processes, the same on the non-linearly transformed irregular part is used as additional component to produce periodic prediction. Prediction using singular value decomposition is compared numerically with that obtained using some established methods and the superiority of the former is demonstrated. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1016/0165-1684(94)90215-1 | Signal Processing |
Keywords | Field | DocType |
SINGULAR VALUE DECOMPOSITION, ORTHOGONAL TRANSFORMATION, MODELING, PREDICTION, PERIODIC PROCESSES, QUASI-PERIODIC PROCESSES | Prime (order theory),Signal processing,Applied mathematics,Singular value decomposition,Periodic function,Discrete mathematics,Quasiperiodic function,Orthogonal transformation,Control theory,Linear prediction,Periodic graph (geometry),Mathematics | Journal |
Volume | Issue | ISSN |
35 | 3 | 0165-1684 |
Citations | PageRank | References |
10 | 4.16 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P P Kanjilal | 1 | 66 | 19.54 |
| Sarbani Palit | 2 | 36 | 13.86 |