A modified TLS-Prony method using data decimation
- 1 January 1994
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 42 (9) , 2292-2303
- https://doi.org/10.1109/78.317852
Abstract
The paper introduces a modified TLS-Prony method that incorporates data decimation. The use of data decimation results in the reduction in the computational complexity because one high-order estimation is replaced by several low-order estimations. The authors present an analysis of pole variance statistics for this modified TLS-Prony method. This analysis provides a quantitative comparison of the parameter estimation accuracy as a function of decimation factors. The authors show that by using decimation, one can obtain comparable statistical performance results at a fraction of the computational cost, when compared with the conventional TLS-Prony algorithmKeywords
This publication has 16 references indexed in Scilit:
- Statistical performance comparison of MUSIC in element-space and beam-spacePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Improved high-resolution direction-finding through use of homogeneous constraintsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Optimal dimension reduction for sensor array signal processingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Statistical analysis of TLS-based prony techniquesAutomatica, 1994
- Comparative performance study of element-space and beam-space MUSIC estimatorsCircuits, Systems, and Signal Processing, 1991
- The constrained total least squares technique and its applications to harmonic superresolutionIEEE Transactions on Signal Processing, 1991
- Parallel architectures for multirate superresolution spectrum analyzersIEEE Transactions on Circuits and Systems, 1991
- Development, performance analysis, and experimental evaluation of beamspace Root-MUSICPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Spectrum manipulation for improved resolutionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Improving resolution for autoregressive spectral estimation by decimationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1983