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An algorithm for pole-zero modeling and spectral analysis
Open accessAbstract
An explicit connection between fitting exponential models and pole-zero models to observed data is made. The fitting problem is formulated as a constrained nonlinear minimization problem. This problem is then solved using a simplified iterative algorithm. The algorithm is applied to simulated data, and the performance of the algorithm is compared to previous results.
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Cited by
Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise
Hua, Y., & Sarkar, T. K. (1990) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.56027 · Cited by 1,537
Maximum likelihood methods for direction-of-arrival estimation
Stoica, P., & Sharman, K. C. (1990) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.57542 · Cited by 908
Subspace-based signal analysis using singular value decomposition
Van Der Veen, A.-J., Deprettere, E. F., & Swindlehurst, A. L. (1993) · Proceedings of the IEEE · doi:10.1109/5.237536 · Cited by 348
Metadata
- Authors
- Kumaresan, R., Scharf, L., & Shaw, A.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1986-06
- Volume
- 34
- Issue
- 3
- Pages
- 637-640
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2141358961
- Cited by
- 231
- References
- 0
- FWCI
- 15.53
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: An algorithm for pole-zero modeling and spectral analysis. https://app.cochat.ai/papers/10.1109/tassp.1986.1164843
- The paper
- Kumaresan, R., Scharf, L., & Shaw, A. (1986). An algorithm for pole-zero modeling and spectral analysis. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1986.1164843
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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