Abstract — This paper presents eigenvector algorithms (EVAs) for blind deconvolution (BD) of multiple-input multiple-output infinite impulse response (MIMO-IIR) channels (convolutive mixtures). Using the idea of reference signals, the EVA is derived. Differently from the conventional researches on EVAs, one of the novel points of the paper is that the EVA using any reference signal is applied to the BD problem of the MIMO-IIR system, and then the validity of the EVA is shown. I
A new update equation for the general multichannel blind deconvolution (MCBD) of a convolved mixture...
This thesis addresses the blind deconvolution problem in which the input sig-nals to a multi-input m...
Convolution is a linear operation, and, consequently, can be formulated as a linear system of equati...
Abstract. This paper deals with a blind deconvolution (DB) problem for multiple-inputmultiple-output...
Abstract — Recently we develop two kinds of approaches, that is, the super-exponential method (SEM) ...
Abstract This paper presents an eigenvector algorithm (EVA) derived from a criterion using referenc...
Abstract — The so called ”super-exponential ” methods (SEMs) are attractive methods for solving mult...
Multichannel blind deconvolution of finite-impulse re-sponse (FIR) or infinite-impulse response (IIR...
In this paper, a method for MIMO blind deconvolution is proposed. The method is applicable to the ca...
This paper presents a novel approach to blind equalization (deconvolution), which is based on direct...
International audienceIn this paper, we propose a new iterative algorithm to solve the blind deconvo...
Abstract — The multichannel blind deconvolution of finite-impulse response (FIR) or infinite-impulse...
International audienceIn this paper, we propose a new iterative algorithm to solve the blind deconvo...
A new two-stage algorithm is proposed for the deconvolution of a Multi-Input Multi-Output (MIMO) sys...
In 1994, an eigenvector solution to the problem of blind equalization of possibly mixed-phase linear...
A new update equation for the general multichannel blind deconvolution (MCBD) of a convolved mixture...
This thesis addresses the blind deconvolution problem in which the input sig-nals to a multi-input m...
Convolution is a linear operation, and, consequently, can be formulated as a linear system of equati...
Abstract. This paper deals with a blind deconvolution (DB) problem for multiple-inputmultiple-output...
Abstract — Recently we develop two kinds of approaches, that is, the super-exponential method (SEM) ...
Abstract This paper presents an eigenvector algorithm (EVA) derived from a criterion using referenc...
Abstract — The so called ”super-exponential ” methods (SEMs) are attractive methods for solving mult...
Multichannel blind deconvolution of finite-impulse re-sponse (FIR) or infinite-impulse response (IIR...
In this paper, a method for MIMO blind deconvolution is proposed. The method is applicable to the ca...
This paper presents a novel approach to blind equalization (deconvolution), which is based on direct...
International audienceIn this paper, we propose a new iterative algorithm to solve the blind deconvo...
Abstract — The multichannel blind deconvolution of finite-impulse response (FIR) or infinite-impulse...
International audienceIn this paper, we propose a new iterative algorithm to solve the blind deconvo...
A new two-stage algorithm is proposed for the deconvolution of a Multi-Input Multi-Output (MIMO) sys...
In 1994, an eigenvector solution to the problem of blind equalization of possibly mixed-phase linear...
A new update equation for the general multichannel blind deconvolution (MCBD) of a convolved mixture...
This thesis addresses the blind deconvolution problem in which the input sig-nals to a multi-input m...
Convolution is a linear operation, and, consequently, can be formulated as a linear system of equati...