The adaptive coherence estimator: a uniformly most-powerful-invariant adaptive detection statistic von Kraut, S., Scharf, L.L., Butler, R.W.

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Second-order analysis of improper complex random vectors and processes von Schreier, P.J., Scharf, L.L.

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Adaptive subspace detectors von Kraut, S., Scharf, L.L., McWhorter, L.T.

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GLRT-Based Direction Detectors in Homogeneous Noise and Subspace Interference von Bandiera, F., Besson, O., Orlando, D., Ricci, G., Scharf, L.L.

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Adaptive Detection of a Signal Known Only to Lie on a Line in a Known Subspace, When Primary and Secondary Data are Partially Homogeneous von Besson, O., Scharf, L.L., Kraut, S.

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A new subspace identification algorithm for high-resolution DOA estimation von McCloud, M.L., Scharf, L.L.

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Eigenvalue Beamforming Using a Multirank MVDR Beamformer and Subspace Selection von Pezeshki, A., Van Veen, B.D., Scharf, L.L., Cox, H., Nordenvaad, M.L.

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A multistage representation of the Wiener filter based on orthogonal projections von Goldstein, J.S., Reed, I.S., Scharf, L.L.

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A generalized likelihood ratio test for impropriety of complex signals von Schreier, P.J., Scharf, L.L., Hanssen, A.

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Matched direction detectors and estimators for array processing with subspace steering vector uncertainties von Besson, O., Scharf, L.L., Vincent, F.

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CFAR matched direction detector von Besson, O., Scharf, L.L.

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Subspace Expansion and the Equivalence of Conjugate Direction and Multistage Wiener Filters von Scharf, L.L., Chong, E.K.P., Zoltowski, M.D., Goldstein, J.S., Reed, I.S.

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Blind adaptation of zero forcing projections and oblique pseudo-inverses for subspace detection and estimation when interference dominates noise von Scharf, L.L., McCloud, M.L.

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Detection of an unknown rank-one component in white noise von Besson, O., Kraut, S., Scharf, L.L.

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Undersea Target Classification Using Canonical Correlation Analysis von Pezeshki, A., Azimi-Sadjadi, M.R., Scharf, L.L.

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A theory of polyspectra for nonstationary stochastic processes von Hanssen, A., Scharf, L.L.

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Canonical coordinates and the geometry of inference, rate, and capacity von Scharf, L.L., Mullis, C.T.

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Stochastic time-frequency analysis using the analytic signal: why the complementary distribution matters von Schreier, P.J., Scharf, L.L.

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Canonical Coordinates are the Right Coordinates for Low-Rank Gauss-Gauss Detection and Estimation von Pezeshki, A., Scharf, L.L., Thomas, J.K., Van Veen, B.D.

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Toeplitz and Hankel kernels for estimating time-varying spectra of discrete-time random processes von Scharf, L.L., Friedlander, B.

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