The DOI matches its Crossref record.
Widely linear estimation with complex data
Abstract
Mean square estimation of complex and normal data is not linear as in the real case but widely linear. The purpose of the paper is to calculate the optimum widely linear mean square estimate and to present its main properties. The advantage with respect to the linear procedure is especially analyzed.>
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Cited by
The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes
Took, C. C., & Mandic, D. P. (2009) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2008.2010600 · Cited by 332
Widely linear digital self-interference cancellation in direct-conversion full-duplex transceiver
Korpi, D., Anttila, L., Syrjala, V., & Valkama, M. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.2330093 · Cited by 287
Metadata
- Authors
- Picinbono, B., & Chevalier, P.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1995
- Volume
- 43
- Issue
- 8
- Pages
- 2030-2033
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2067489830
- Cited by
- 726
- References
- 0
- FWCI
- 4.31
- Type
- journal article
- Language
- en
- Open access
- closed
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Widely linear estimation with complex data. https://app.cochat.ai/papers/10.1109/78.403373
- The paper
- Picinbono, B., & Chevalier, P. (1995). Widely linear estimation with complex data. IEEE Transactions on Signal Processing. https://doi.org/10.1109/78.403373
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.
