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Fundamentals of Statistical Signal Processing: Estimation Theory
Abstract
"Fundamentals of Statistical Signal Processing: Estimation Theory." Technometrics, 37(4), pp. 465–466
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Cited by
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Liu, F., Cui, Y., Masouros, C., Xu, J., Han, T. X., Eldar, Y. C., & Buzzi, S. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3156632 · Cited by 3,857
SNR Walls for Signal Detection
Tandra, R., & Sahai, A. (2008) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2007.914879 · Cited by 1,544
Target Detection and Localization Using MIMO Radars and Sonars
Bekkerman, I., & Tabrikian, J. (2006) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2006.879267 · Cited by 1,259
Eigenvalue-based spectrum sensing algorithms for cognitive radio
Zeng, Y., & Liang, Y.-C. (2009) · IEEE Transactions on Communications · doi:10.1109/tcomm.2009.06.070402 · Cited by 1,258
Understanding and evaluating blind deconvolution algorithms
Levin, A., Weiss, Y., Durand, F., & Freeman, W. T. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206815 · Cited by 1,208
Metadata
- Authors
- Sengijpta, S. K.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 1995-11
- Volume
- 37
- Issue
- 4
- Pages
- 465-466
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W1965392255
- Cited by
- 11,076
- References
- 0
- FWCI
- 38.78
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Fundamentals of Statistical Signal Processing: Estimation Theory. https://app.cochat.ai/papers/10.1080/00401706.1995.10484391
- The paper
- Sengijpta, S. K. (1995). Fundamentals of Statistical Signal Processing: Estimation Theory. Technometrics. https://doi.org/10.1080/00401706.1995.10484391
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.