1. J. V. Manjon, P. Coupe, L. Concha, A. Buades, D. L. Collins, and M. Robles, “Diffusion weighted image denoising using overcomplete local PCA,” PLoS ONE, vol. 8, no. 9, e73021, doi:10.1371/journal.pone 0073021.2013.
2. K. Hermus, P. Wambacq, and H. V. Hamme, “A review of signal subspace speech enhancement and its application to noise robust speech recognition,” EURASIP Journal on Applied Signal Processing, vol. 2007, no. 1, pp. 195–195, 2007. [click]
3. X. Wei1, M. Verhaegen, and T. V. Engelen, “Sensor fault detection and isolation for wind turbines based on subspace identification and Kalman filter techniques,” International Journal of Adaptive Control and Signal Processing, vol. 24, no. 8, pp. 687–707, August 2010.
4. M. Döhlera and L. Mevel, “Subspace-based fault detection robust to changes in the noise covariances,” Automatica, vol. 49, no. 9, pp. 2734–2743, September 2013. [click]
5. J. Chen and F. Yang, “Data-driven subspace-based adaptive fault detection for solar power generation systems,” Control Theory & Applications, IET, vol. 7, no. 11, pp. 1498–1508, 2013.