The methods for multiple operator deconvolution of Berenstein, Taylor, and Yger are examined for the case of the addition of a noise signal after each of the multiple convolutions and preceding the deconvolutions. It is shown that for strongly coprime multiple operators there is an obvious choice for optimal deconvolvers. The case of m strongly coprime, parallel convolvers with m independent noise sources is compared to m identical, parallel convolvers with m independent, identically distributed noise sources. A performance criterion is defined. The performance for selected collections of strongly coprime convolvers is shown to be at least as good as that for the corresponding collection of an equal number of identical, parallel convolvers....
The retrieval of the Green's functions between receiver pairs by multi-dimensional deconvolutio...
We present results for the comparison of six deconvolution techniques. The methods we consider are b...
Abstract. In performing blind deconvolution to remove reverberation from speech signal, most acousti...
Abstract- Noise reduction in deconvolution process has been a challenge to researchers in the field ...
Noise reduction in deconvolution process has been a challenge to researchers in the field of signa...
The problem recovering information from single component linear translation invariant systems is inh...
A simplified but reliable design procedure is proposed for the deconvolution noise reduction compens...
The question whether multiples are signal or noise is subject of ongoing debate. In this paper we co...
We use mollification to regularize the problem of deconvolution of random variables. This regulariza...
In this paper, we consider the issue of devising a flexible nonlinear function for multichannel blin...
Explicit error bounds are exhibited for a case of deconvolution with elementary convolutors on R_n. ...
The retrieval of the Green's functions between receiver pairs by multi-dimensional deconvolution can...
Abstract — In this paper, we propose a novel deconvolution algorithm based on the minimization of a ...
We present a noise deconvolution technique for obtaining noiseless expectation values of noisy obser...
A new update equation for the general multichannel blind deconvolution (MCBD) of a convolved mixture...
The retrieval of the Green's functions between receiver pairs by multi-dimensional deconvolutio...
We present results for the comparison of six deconvolution techniques. The methods we consider are b...
Abstract. In performing blind deconvolution to remove reverberation from speech signal, most acousti...
Abstract- Noise reduction in deconvolution process has been a challenge to researchers in the field ...
Noise reduction in deconvolution process has been a challenge to researchers in the field of signa...
The problem recovering information from single component linear translation invariant systems is inh...
A simplified but reliable design procedure is proposed for the deconvolution noise reduction compens...
The question whether multiples are signal or noise is subject of ongoing debate. In this paper we co...
We use mollification to regularize the problem of deconvolution of random variables. This regulariza...
In this paper, we consider the issue of devising a flexible nonlinear function for multichannel blin...
Explicit error bounds are exhibited for a case of deconvolution with elementary convolutors on R_n. ...
The retrieval of the Green's functions between receiver pairs by multi-dimensional deconvolution can...
Abstract — In this paper, we propose a novel deconvolution algorithm based on the minimization of a ...
We present a noise deconvolution technique for obtaining noiseless expectation values of noisy obser...
A new update equation for the general multichannel blind deconvolution (MCBD) of a convolved mixture...
The retrieval of the Green's functions between receiver pairs by multi-dimensional deconvolutio...
We present results for the comparison of six deconvolution techniques. The methods we consider are b...
Abstract. In performing blind deconvolution to remove reverberation from speech signal, most acousti...