On harmonic retrieval
- 24 March 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 8, 1099-1101
- https://doi.org/10.1109/icassp.1983.1171957
Abstract
This paper reviews methods for obtaining short time spectral estimates for sine waves in noise. In the presence of noise, autoregressive methods have well-known difficulties[1,2], while iterations based upon Pisarenko's harmonic retrieval method perform quite well. This paper brings together the derivation of the Reddy-Thompson-Pisarenko harmonic retrieval method, and presents some experimental results relating to the behavior of its detection and estimation behavior. These indicate a detection threshold around -8 dB, and a small signal suppression effect.Keywords
This publication has 6 references indexed in Scilit:
- Singular value decomposition and improved frequency estimation using linear predictionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- Least squares type algorithm for adaptive implementation of Pisarenko's harmonic retrieval methodIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- Fast algorithm for identification of an ARX model and its order determinationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- Robust detection by autoregressive spectrum analysisIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- The cause of line splitting in Burg maximum-entropy spectral analysisIEEE Transactions on Acoustics, Speech, and Signal Processing, 1980
- The Retrieval of Harmonics from a Covariance FunctionGeophysical Journal International, 1973