Determining the dimension and structure of the subspace correlated across multiple data sets
T. Hasija, T. Marrinan, C. Lameiro, P.J. Schreier, Signal Processing 176 (2020).
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Journal Article
| English
Author
Hasija, TanujLibreCat;
Marrinan, Timothy;
Lameiro, Christian;
Schreier, Peter J
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Publishing Year
Journal Title
Signal Processing
Volume
176
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Hasija T, Marrinan T, Lameiro C, Schreier PJ. Determining the dimension and structure of the subspace correlated across multiple data sets. Signal Processing. 2020;176. doi:10.1016/j.sigpro.2020.107613
Hasija, T., Marrinan, T., Lameiro, C., & Schreier, P. J. (2020). Determining the dimension and structure of the subspace correlated across multiple data sets. Signal Processing, 176. https://doi.org/10.1016/j.sigpro.2020.107613
@article{Hasija_Marrinan_Lameiro_Schreier_2020, title={Determining the dimension and structure of the subspace correlated across multiple data sets}, volume={176}, DOI={10.1016/j.sigpro.2020.107613}, journal={Signal Processing}, publisher={Elsevier}, author={Hasija, Tanuj and Marrinan, Timothy and Lameiro, Christian and Schreier, Peter J}, year={2020} }
Hasija, Tanuj, Timothy Marrinan, Christian Lameiro, and Peter J Schreier. “Determining the Dimension and Structure of the Subspace Correlated across Multiple Data Sets.” Signal Processing 176 (2020). https://doi.org/10.1016/j.sigpro.2020.107613.
T. Hasija, T. Marrinan, C. Lameiro, and P. J. Schreier, “Determining the dimension and structure of the subspace correlated across multiple data sets,” Signal Processing, vol. 176, 2020, doi: 10.1016/j.sigpro.2020.107613.
Hasija, Tanuj, et al. “Determining the Dimension and Structure of the Subspace Correlated across Multiple Data Sets.” Signal Processing, vol. 176, Elsevier, 2020, doi:10.1016/j.sigpro.2020.107613.
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