The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise
Open accessAbstract
A study of a matrix pencil method for estimating frequencies and damping factors of exponentially damped and/or undamped sinusoids in noise is presented. Comparison of this method to a polynomial method (SVD-Prony method) shows that the matrix pencil method and the polynomial method are two special cases of a matrix prediction approach and that the pencil method is more efficient in computation and less restrictive about signal probes. It is found through perturbation analysis and simulation that, for signals with unknown damping factors, the pencil method is less sensitive to noise than the polynomial method. An expression of the Cramer-Rao bound for the exponential signals is presented.>
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Cites
ESPRIT-estimation of signal parameters via rotational invariance techniques
Roy, R., & Kailath, T. (1989) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.32276 · Cited by 7,289
On spatial smoothing for direction-of-arrival estimation of coherent signals
Shan, T.-J., Wax, M., & Kailath, T. (1985) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1985.1164649 · Cited by 1,894
ESPRIT--A subspace rotation approach to estimation of parameters of cisoids in noise
Roy, R., Paulraj, A., & Kailath, T. (1986) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1986.1164935 · Cited by 1,088
Tufts, D. W., & Kumaresan, R. (1982) · Proceedings of the IEEE · doi:10.1109/proc.1982.12428 · Cited by 1,018
Estimating the parameters of exponentially damped sinusoids and pole-zero modeling in noise
Kumaresan, R., & Tufts, D. (1982) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1982.1163974 · Cited by 867
Exact maximum likelihood parameter estimation of superimposed exponential signals in noise
Bresler, Y., & Macovski, A. (1986) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1986.1164949 · Cited by 767
Kung, S. Y., Arun, K. S., & Bhaskar Rao, D. V. (1983) · Journal of the Optical Society of America · doi:10.1364/josa.73.001799 · Cited by 406
Total least squares approach for frequency estimation using linear prediction
Rahman, M. D., & Yu, K. (1987) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1987.1165059 · Cited by 303
On SVD for estimating generalized eigenvalues of singular matrix pencil in noise
Hua, Y., & Sarkar, T. K. (1991) · IEEE Transactions on Signal Processing · doi:10.1109/78.80911 · Cited by 253
Self-citationAn algorithm for pole-zero modeling and spectral analysis
Kumaresan, R., Scharf, L. L., & Shaw, A. K. (1986) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1986.1164843 · Cited by 231
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Metadata
- Authors
- Hua, Y., & Sarkar, T. K.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1990-05
- Volume
- 38
- Issue
- 5
- Pages
- 814-824
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2065656021
- Cited by
- 1,537
- References
- 14
- FWCI
- 20.16
- Type
- journal article
- Language
- en
- Open access
- green
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