On frequency estimation with the IQML algorithm
- 1 January 1994
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 42 (9) , 2509-2513
- https://doi.org/10.1109/78.317875
Abstract
A popular implementation of the KiSS/IQML algorithm for frequency estimation applies an inappropriate constraint to the parameter vector. This results in high thresholds for certain frequency configurations. By applying a consistent constraint, a better estimator can be obtainedKeywords
This publication has 6 references indexed in Scilit:
- Tracking a few extreme singular values and vectors in signal processingProceedings of the IEEE, 1990
- Novel eigenanalysis method for direction estimationIEE Proceedings F Radar and Signal Processing, 1990
- Superresolution by structured matrix approximationIEEE Transactions on Antennas and Propagation, 1988
- Exact maximum likelihood parameter estimation of superimposed exponential signals in noiseIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
- An algorithm for pole-zero modeling and spectral analysisIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
- Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihoodProceedings of the IEEE, 1982