Parts: I. Survey Papers. The SVD and reduced-rank signal processing (L.L. Scharf). Parallel implementations of the SVD using implicit CORDIC arithmetic (J-M. Delosme). Neural networks for extracting pure/constrained/oriented principal components (S.Y. Kung et al.). Generalizations of the OSVD: structure, properties and applications (B. de Moor). Perturbation theory for the singular value decomposition (G.W. Stewart). II. Algorithms and Architectures.An accurate product SVD algorithm (A.W. Bojanczyk et al.). The hyperbolic singular value decomposition and applications (R. Onn et al.). Adaptive SVD algorithm with application to narrowband signal tracking (W. Ferzali, J.G. Proakis). Chebyshev acceleration techniques for solving slowly varying total least squares problems (S. van huffel). Combined Jacobi-type algorithms in signal processing (M. Moonan et al.). A modified non-symmetric Lanczos algorithm and applications (D. Boley, G. Golub). Parallel one sided Euler-Jacobi method for symmetric eigendecomposition and SVD (A.W. Bojanczyk et al.). Using UNITY to implement SVD on the connection machine (M. Kleyn, I. Chakravarty). A CORDIC processor array for the SVD of a complex matrix (J.R. Cavallaro, A.C. Elster). III. Analysis of SVD-Based Algorithms. Analytical performance prediction of subspace-based algorithms for DOA estimation (Fu Li, R.J. Vaccaro). Spatial smoothing and MUSIC: Further results (B.D. Rao, K.V.S. Hari). A performance analysis of adaptive algorithms in the presence of calibration errors (D.R. Farrier, D.J. Jeffries). Second order perturbation calculation of state space estimation (W.W.F. Pijnappel et al.). The threshold effect in signal processing algorithms which use an estimated subspace (D.W. Tufts et al.). IV. Applications to signal modeling and detection OSVD and QSVD in signal separation (D. Callaerts et al.). Enhanced sinusoidal and exponential data modeling (J.A. Cadzow, D.M. Wilkes). Enhancements to SVD-Based detection (J.H. Cozzens, M.J. Sousa).Resolution of closely spaced coherent plane waves via SVD (H. Krim et al.). Transient parameter estimation by an SVD-based Wigner distribution (M.F. Grifin, A.M. Finn). Signal/noise subspace decomposition for random transient detection (N.M. Marinovich, L.M. Roytman). Comparisons of truncated QR and SVD methods for AR spectral estimations (S.F. Hsieh et al.). Using singular value decomposition to recover periodic waveforms in noise and with residual carrier (B. Rice). Other Applications. SVD-based low-rank approximations of rational models (A-J. van der Veen, E.F. Deprettere). Computing the singular values and vectors of a Hankel operator (H. Ozbay). SVD analysis of probability matrices (J.A. Ramos). Fast matrix-vector multiplication using displacement rank approximation via an SVD (J.M. Speiser et al.). A new use of singular value decomposition in bioelectric imaging of the brain (D.J. Major, R.J. Sidman).
