Name
Title | ||
|---|---|---|
State-space based approximation methods for the harmonic retrieval problem in the presence of known signal poles |
Abstract | ||
|---|---|---|
In parameter estimation of closely-spaced sinusoids, prior knowledge of some known signal poles can be incorporated as done in the LCTLS-LP algorithm proposed by Dowling et al. (1992, 1994) and based on forward linear prediction and total least squares. In this paper, two better algorithms, HTLS-PK and HTLN-PK, derived respectively from Kung et al.'s (1983) state-space method using the TLS principle and the newly developed structured total least norm technique are presented that incorporate the same prior knowledge but clearly outperform the LCTLS-LP method in both resolution and parameter accuracy |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/ICASSP.1996.550166 | ICASSP |
Keywords | Field | DocType |
better algorithm,htln-pk,state-space methods,lctls-lp method,parameter accuracy,approximation theory,state-space based approximation methods,tls principle,closely-spaced sinusoid,lctls-lp algorithm,parameter estimation,spectral analysis,prior knowledge,harmonic retrieval problem,known signal poles,closely-spaced sinusoids,poles and zeros,structured total least norm technique,resolution,harmonic analysis,signal resolution,known signal pole,approximation method,htls-pk,state-space method,data mining,signal processing,nuclear magnetic resonance,state space,matrix decomposition | Singular value decomposition,Mathematical optimization,Digital signal processing,Computer science,Approximation theory,Linear prediction,Estimation theory,Total least squares,State space,Numerical linear algebra | Conference |
Volume | ISSN | ISBN |
5 | 1520-6149 | 0-7803-3192-3 |
Citations | PageRank | References |
1 | 0.57 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hua Chen | 1 | 1 | 0.57 |
| S. Van Huffel | 2 | 260 | 32.75 |
| Joos Vandewalle | 3 | 4420 | 523.42 |