In this paper we present a signal reconstruction algorithm from absolute value of frame coefficients that requires a relatively low redundancy. The basic idea is to use a non-linear embedding of the input signal Hilbert space into a higher dimensional Hilbert space of sesquilinear function-als so that absolute values of frame coefficients are associ-ated to relevant inner products in that space. In this space the reconstruction becomes linear and can be performed in a polynomial number of steps. 1
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...
Abstract. This paper is concerned with the question of reconstructing a vector in a finite-dimension...
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...
Abstract — The purpose of this note is to prove, for real frames, that signal reconstruction from th...
Abstract. The primary goal of this paper is to develop fast algorithms for signal reconstruction fro...
AbstractWe will construct new classes of Parseval frames for a Hilbert space which allow signal reco...
Frame design for phaseless reconstruction is now part of the broader problem of nonlinear recon- str...
Abstract The goal of this paper is to develop fast algorithms for signal reconstruc-tion from magnit...
We will construct new classes of Parseval frames for a Hilbert space which allow signal reconstructi...
This paper focuses on the reconstruction of the signal structure of a system in the presence of nois...
Abstract. This paper is concerned with the question of reconstructing a vector in a finite-dimension...
We discuss a new approach to the problem of recovering signal from frame coefficients with erasures....
We derive fast algorithms for doing signal reconstruction without phase. This type of problem is imp...
The goal of this paper will be to study how frame theory is applied within the field of signal proce...
Abstract—This paper presents a framework for discrete-time signal reconstruction from absolute value...
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...
Abstract. This paper is concerned with the question of reconstructing a vector in a finite-dimension...
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...
Abstract — The purpose of this note is to prove, for real frames, that signal reconstruction from th...
Abstract. The primary goal of this paper is to develop fast algorithms for signal reconstruction fro...
AbstractWe will construct new classes of Parseval frames for a Hilbert space which allow signal reco...
Frame design for phaseless reconstruction is now part of the broader problem of nonlinear recon- str...
Abstract The goal of this paper is to develop fast algorithms for signal reconstruc-tion from magnit...
We will construct new classes of Parseval frames for a Hilbert space which allow signal reconstructi...
This paper focuses on the reconstruction of the signal structure of a system in the presence of nois...
Abstract. This paper is concerned with the question of reconstructing a vector in a finite-dimension...
We discuss a new approach to the problem of recovering signal from frame coefficients with erasures....
We derive fast algorithms for doing signal reconstruction without phase. This type of problem is imp...
The goal of this paper will be to study how frame theory is applied within the field of signal proce...
Abstract—This paper presents a framework for discrete-time signal reconstruction from absolute value...
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...
Abstract. This paper is concerned with the question of reconstructing a vector in a finite-dimension...
We propose new approaches to the problems of recovering signals from the rearranged frame coefficien...