Name
Abstract | ||
|---|---|---|
This paper deals with the three-dimensional Autoregressive (3-D AR) model parameter estimation from noisy data. We develop an algorithm to estimate the transversal AR parame- ters corresponding to the Quarter-Space (QS) region of sup- port without a priori knowledge of additive noise power. The transversal parameters and the noise variance are both ob- tained as a solution of a quadratic eigenvalue problem. The performance of the proposed algorithm is evaluated by nu- merical examples. |
Year | Venue | Keywords |
|---|---|---|
2005 | EUSIPCO | awgn,autoregressive processes,eigenvalues and eigenfunctions,parameter estimation,3d traversal ar model parameter estimation,qs region,a priori knowledge,additive gaussian white noise,noise variance,noisy data,quadratic eigenvalue problem,quarter-space region,three-dimensional autoregressive parameter estimation |
Field | DocType | ISBN |
Applied mathematics,Autoregressive model,Mathematical optimization,Noise power,Noise measurement,A priori and a posteriori,Transversal (geometry),Solid modeling,Gaussian noise,Quadratic eigenvalue problem,Mathematics | Conference | 978-160-4238-21-1 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stitou, Y. | 1 | 8 | 0.90 |
| Donias, M. | 2 | 0 | 0.34 |
| B. Aksasse | 3 | 33 | 4.09 |