Alternating projection onto convex sets is powerful tool for signal and image restoration. The extensions of von Neumann’s [3] alternating projection method by Dykstra and Han [1, 2] permit the computation of proximity projection onto certain convex sets. This paper exploits this fact in constructing a globally con-vergent method for computing the closest positive definite symmetric Toeplitz matrix to a specified matrix. Some applications to signal processing and control problems are discussed. Comparative numerical results are also reported
[[abstract]]The method of projections onto convex sets (POCS) is a technique for restoring signals f...
We give several unifying results, interpretations, and examples regarding the convergence of the von...
In this paper, we present a novel technique for signal synthesis in the presence of an inconsistent ...
We analyze Dykstra's algorithm for two arbitrary closed convex sets in a Hilbert space. Our techniqu...
International audienceThe proximity operator of a convex function is a natural extension of the noti...
Abstract. Problems in signal detection and image recovery can sometimes be formulated as a convex fe...
In this paper we present a new iterative projection method for finding the closest point in the inte...
Let A and B be nonempty, convex and closed subsets of a Hilbert spaceH. In the practical considerati...
Convex conic programming is a general optimization model which includes linear, second-order-cone an...
A new iterative method for finding the projection onto the intersection of two closed convex sets in...
AbstractA projection method for computing the minimal eigenvalue of a symmetric and positive definit...
AbstractA new iterative method for finding the projection onto the intersection of two closed convex...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
[[abstract]]The method of projections onto convex sets (POCS) is a technique for restoring signals f...
[[abstract]]The method of projections onto convex sets (POCS) is a technique for restoring signals f...
We give several unifying results, interpretations, and examples regarding the convergence of the von...
In this paper, we present a novel technique for signal synthesis in the presence of an inconsistent ...
We analyze Dykstra's algorithm for two arbitrary closed convex sets in a Hilbert space. Our techniqu...
International audienceThe proximity operator of a convex function is a natural extension of the noti...
Abstract. Problems in signal detection and image recovery can sometimes be formulated as a convex fe...
In this paper we present a new iterative projection method for finding the closest point in the inte...
Let A and B be nonempty, convex and closed subsets of a Hilbert spaceH. In the practical considerati...
Convex conic programming is a general optimization model which includes linear, second-order-cone an...
A new iterative method for finding the projection onto the intersection of two closed convex sets in...
AbstractA projection method for computing the minimal eigenvalue of a symmetric and positive definit...
AbstractA new iterative method for finding the projection onto the intersection of two closed convex...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
[[abstract]]The method of projections onto convex sets (POCS) is a technique for restoring signals f...
[[abstract]]The method of projections onto convex sets (POCS) is a technique for restoring signals f...
We give several unifying results, interpretations, and examples regarding the convergence of the von...
In this paper, we present a novel technique for signal synthesis in the presence of an inconsistent ...