Improved methods for exponential parameter estimation in the presence of known poles and noise
- 1 May 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 45 (5), 1390-1393
- https://doi.org/10.1109/78.575717
Abstract
By incorporating prior knowledge of known signal poles corresponding to some of the closely spaced sinusoids, Dowling et al. (see IEEE Trans. Antennas Propagat., vol.42, no.5, p.590-599, 1994) have proposed an LCTLS-FLP technique, which improves the performance of TLS-FLP. We present two better estimators that incorporate the same prior knowledge but clearly outperform LCTLS-FLP in resolution and parameter accuracyKeywords
This publication has 9 references indexed in Scilit:
- State-space based approximation methods for the harmonic retrieval problem in the presence of known signal polesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- In vivo31p mrs: absolute concentrations, signal‐to‐noise and prior knowledgeNMR in Biomedicine, 1995
- Algorithm for Time-Domain NMR Data Fitting Based on Total Least SquaresJournal of Magnetic Resonance, Series A, 1994
- Exponential parameter estimation In the presence of known components and noiseIEEE Transactions on Antennas and Propagation, 1994
- Total least squares with linear constraintsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- Total least squares approach for frequency estimation using linear predictionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
- State-space and singular-value decomposition-based approximation methods for the harmonic retrieval problemJournal of the Optical Society of America, 1983
- Estimating the parameters of exponentially damped sinusoids and pole-zero modeling in noiseIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- Singular value decomposition and improved frequency estimation using linear predictionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982