J. A. Cadzow and D. M. Wilkes (1990), Signal enhancement and the SVD, in Proc. 2nd International Workshop on SVD and Signal Processing, University of Rhode Island, Kingston, RI, pp. 144-151. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Structured Lower Rank Approximation - Chu, Funderlic, Plemmons (1998) (2 citations) (Correct)
....norm. Such a problem is referred to as a structure preserving rank reduction problem. These matrix approximation problems arise in many important applications, especially in signal and image processing. Important signal and image enhancement applications with Toeplitz structure are discussed in [5, 6, 14], and model reduction problems Department of Mathematics, North Carolina State University, Raleigh, NC 27695 8205. This research was supported in part by the National Science Foundation under grant DMS 9422280. y Department of Computer Science, North Carolina State University, Raleigh, NC ....
....Winston Salem, NC 27109. Research sponsored by the U.S. Air Force Office of Scientific Research under grant F49620 97 1 0139, and by the National Science Foundation under grant CCR 96 23356. 1 with Hankel structure have found applications in areas such as speech encoding and filter design [5, 6, 14, 24]. We conjecture that structure preserving rank reduction computations can also be used as a regularization tool in the solution of certain ill posed inverse problems such as image restoration [1, 22] As in [5, 6, 14, 24] we limit our attention to the case when Omega has linear structure, ....
[Article contains additional citation context not shown here]
J. A. Cadzow and D. M. Wilkes, Signal enhancement and the SVD, Proceedings of the 2nd International Workshop on SVD and Signal Processing, University of Rhode Island, Kingston, RI, 1990, 144-151.
Some Recent Algebraic/Numerical Algorithms - Pan (1998) (Correct)
.... solution of such an ffl gcd problem can be extended to a heuristic algorithm for the problem of computing a Hankel matrix of a lower rank r Gamma approximating a given Hankel matrix of rank r, with r Gamma r, this problem has important applications to signal and image processing [Cad88] [CaW90], DeM94] vdV96] 6 Computations with dense structured matrices, correlations to polynomial and rational interpolation and multipoint evaluation We consider Toeplitz, Hankel, Vandermonde and Cauchy matrices as well as the matrices having similar structures. These are the most popular classes of ....
J. A. Cadzow, D. M. Wilkes. Signal Enhancement and the SVD, Proceedings of the 2nd International Workshop on SVD and Signal Processing, University of Rhode Island, Kingston, RI, 144-151, 1990.
Structured Inverse Eigenvalue Problems - Chu, Golub (2002) (5 citations) (Correct)
No context found.
J. A. Cadzow and D. M. Wilkes (1990), Signal enhancement and the SVD, in Proc. 2nd International Workshop on SVD and Signal Processing, University of Rhode Island, Kingston, RI, pp. 144-151.
Structured Low Rank Approximation - Moody Chu Robert (2002) (2 citations) (Correct)
No context found.
J. A. Cadzow and D. M. Wilkes, Signal enhancement and the SVD, Proceedings of the 2nd International Workshop on SVD and Signal Processing, University of Rhode Island, Kingston, RI, 1990, 144-151.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC