In this paper, we present a new approach for the blind source separation problem. Recently, several new techniques have emerged for the Multi-Input-Multi-Output (MIMO) blind identification problem [1, 2, 3] which is an important issue in communications. These techniques estimate the transfer function up to a constant matrix. The purpose of the source separation [4, 5] consists of the estimation of such matrix and provides an estimate of the emitted signals. The proposed method estimates the mixing matrix by an Input-Output (IO) identification using as inputs a nonlinear version of the estimated sources. Herein, the nonlinear distortion consists of constraining the Modulus of the inputs of the IO-Identification device to a Constant. Hence th...
Abstract: In the single-user scenario of data communications, the identification and equalization of...
This paper deals with blind system identification of FIR MIMO (finite impulse response and multi inp...
Blind source separation (BSS) and blind equalization (BE) are two important blind signal processing ...
This paper deals with the problem of blind identification and source separation which consists of es...
We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input mult...
We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input mult...
We propose two structures and theirs associated algorithms designed to solve the blind source separa...
International audienceThe paper proposes a direct estimation of the mixing matrix and not a tuning o...
Blind Source Separation is a modern signal processing technique which recovers boththe unknown sourc...
In this paper we derive algebraic algorithms for the blind extraction of Constant Modulus source sig...
Blind source separation aims to extract a set of independent signals from a set of observed linear m...
Blind techniques are born in the eighties, when first adaptive equalizers have been designed for dig...
In this paper, we present a specific algorithm for the blind identification of a two input two outpu...
International audienceThis paper addresses the issue of blind multiple-input multiple-output (MIMO) ...
ABSTRACT We present a new approach to the blind source separation problem (BSS, also known as Indepe...
Abstract: In the single-user scenario of data communications, the identification and equalization of...
This paper deals with blind system identification of FIR MIMO (finite impulse response and multi inp...
Blind source separation (BSS) and blind equalization (BE) are two important blind signal processing ...
This paper deals with the problem of blind identification and source separation which consists of es...
We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input mult...
We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input mult...
We propose two structures and theirs associated algorithms designed to solve the blind source separa...
International audienceThe paper proposes a direct estimation of the mixing matrix and not a tuning o...
Blind Source Separation is a modern signal processing technique which recovers boththe unknown sourc...
In this paper we derive algebraic algorithms for the blind extraction of Constant Modulus source sig...
Blind source separation aims to extract a set of independent signals from a set of observed linear m...
Blind techniques are born in the eighties, when first adaptive equalizers have been designed for dig...
In this paper, we present a specific algorithm for the blind identification of a two input two outpu...
International audienceThis paper addresses the issue of blind multiple-input multiple-output (MIMO) ...
ABSTRACT We present a new approach to the blind source separation problem (BSS, also known as Indepe...
Abstract: In the single-user scenario of data communications, the identification and equalization of...
This paper deals with blind system identification of FIR MIMO (finite impulse response and multi inp...
Blind source separation (BSS) and blind equalization (BE) are two important blind signal processing ...