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Free Component Analysis: Theory, Algorithms and Applications., and . Found. Comput. Math., 23 (3): 973-1042 (June 2023)Random matrix theory inspired passive bistatic radar detection with noisy reference signal., , , and . ICASSP, page 2754-2758. IEEE, (2015)An iterative, backscatter-analysis based algorithm for increasing transmission through a highly-backscattering random medium., , , and . SSP, page 97-100. IEEE, (2012)Comparison of passive radar detectors with noisy reference signal., , , and . SSP, page 1-5. IEEE, (2016)OptFuse: Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices., and . FUSION, page 15-21. IEEE, (2015)Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems., , and . IEEE Trans. Computational Imaging, 3 (4): 694-709 (2017)Applied stochastic Eigen-analysis.. Massachusetts Institute of Technology, Cambridge, MA, USA, (2006)ndltd.org (oai:dspace.mit.edu:1721.1/38538).Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors., , and . ICASSP, page 3776-3780. IEEE, (2015)Misaligned Principal Components Analysis: Application to gene expression time series analysis., , , and . ACSCC, page 1002-1006. IEEE, (2011)The performance of deterministic matched subspace detectors when using subspaces estimated from noisy, missing data., , and . SSP, page 397-400. IEEE, (2012)