The problem recovering information from single component linear translation invariant systems is inherently ill-posedness may be circumvented in a multichannel system if the components of the system satisfy the strongly coprime condition. The signal may be completely recovered from a strongly coprime system by filtering the output of each channel with a deconvolver, and adding. This approach has been labeled multichannel deconvolution.We explore the state of the art for the multichannel theory. We then use sampling theory to develop an alternative method for creating these systems. Modulation techniques are then used to create a strongly coprime system, for which the corresponding deconvolvers are developed. We close by discussing several a...
Noise reduction in deconvolution process has been a challenge to researchers in the field of signa...
Sampling Theory is the branch of mathematics that seeks to reconstruct functions from knowledge of t...
The Wiener solution of a multichannel restoration scheme is presented. Using matrix diagonalization ...
This Master Thesis deals with image restoration using deconvolution. The terms introducing into deco...
In this paper, we propose an approach to the multichannel blind deconvolution problem, based on the ...
The methods for multiple operator deconvolution of Berenstein, Taylor, and Yger are examined for the...
The deconvolution problem is to design a deconvolution filter to reconstruct a signal from the measu...
In this paper, we consider the issue of devising a flexible nonlinear function for multichannel blin...
Recently the sampling theory for certain parametric signals based on rate of innovation has been ext...
A new update equation for the general multichannel blind deconvolution (MCBD) of a convolved mixture...
A very fast deconvoliition method, which is based on the fast Fourier transform (FFT), can be used t...
In this paper we present a possible extension of the theory of sampling signals with finite rate of ...
Abstract- Noise reduction in deconvolution process has been a challenge to researchers in the field ...
We introduce a novel Algorithm for underdetermined convolutive mixture of source signals. Where the ...
Deconvolution consists in recovering the unknown input of a system given noisy measurements of the o...
Noise reduction in deconvolution process has been a challenge to researchers in the field of signa...
Sampling Theory is the branch of mathematics that seeks to reconstruct functions from knowledge of t...
The Wiener solution of a multichannel restoration scheme is presented. Using matrix diagonalization ...
This Master Thesis deals with image restoration using deconvolution. The terms introducing into deco...
In this paper, we propose an approach to the multichannel blind deconvolution problem, based on the ...
The methods for multiple operator deconvolution of Berenstein, Taylor, and Yger are examined for the...
The deconvolution problem is to design a deconvolution filter to reconstruct a signal from the measu...
In this paper, we consider the issue of devising a flexible nonlinear function for multichannel blin...
Recently the sampling theory for certain parametric signals based on rate of innovation has been ext...
A new update equation for the general multichannel blind deconvolution (MCBD) of a convolved mixture...
A very fast deconvoliition method, which is based on the fast Fourier transform (FFT), can be used t...
In this paper we present a possible extension of the theory of sampling signals with finite rate of ...
Abstract- Noise reduction in deconvolution process has been a challenge to researchers in the field ...
We introduce a novel Algorithm for underdetermined convolutive mixture of source signals. Where the ...
Deconvolution consists in recovering the unknown input of a system given noisy measurements of the o...
Noise reduction in deconvolution process has been a challenge to researchers in the field of signa...
Sampling Theory is the branch of mathematics that seeks to reconstruct functions from knowledge of t...
The Wiener solution of a multichannel restoration scheme is presented. Using matrix diagonalization ...