MV-PURE Estimator: Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator for Linearly Constrained Ill-Conditioned Inverse Problems.

MLA

Piotrowski, Tomasz, and Isao Yamada. “MV-PURE Estimator: Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator for Linearly Constrained Ill-Conditioned Inverse Problems.” IEEE Transactions on Signal Processing, vol. 56, no. 8, Aug. 2008, pp. 3408–23. EBSCOhost, https://doi.org/10.1109/TSP.2008.921716.

APA

Piotrowski, T., & Yamada, I. (2008). MV-PURE Estimator: Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator for Linearly Constrained Ill-Conditioned Inverse Problems. IEEE Transactions on Signal Processing, 56(8), 3408–3423. https://doi.org/10.1109/TSP.2008.921716

Chicago

Piotrowski, Tomasz, and Isao Yamada. 2008. “MV-PURE Estimator: Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator for Linearly Constrained Ill-Conditioned Inverse Problems.” IEEE Transactions on Signal Processing 56 (8): 3408–23. doi:10.1109/TSP.2008.921716.