This paper addresses the problem of blind equalization in the case of correlated input symbols, and it shows how the knowledge of the symbol sequence probability distribution can be directly incorporated in a Bussgang blind equalization scheme. Numerical results pertaining to both linear and nonlinear modulation schemes show that a significant improvement in equalization performance is obtained by exploiting the symbol sequence probability distribution using the approach herein described
An improved blind channel equalization method is proposed based on the generalized eigenvector algor...
International audienceIn this paper, we study blind equalization techniques to mitigate inter-symbol...
The paper investigates blind finite-impulse-response (FIR) equalization schemes for quadrature ampli...
This paper addresses the problem of blind equalization in the case of correlated input symbols, and ...
This paper addresses the problem of blind equalization in the case of correlated input symbols, and ...
The problem of blind equalization of GMSK modulated signals is here addressed. In particular, resort...
In this paper, a new blind equalization algorithm for multilevel modulations is proposed. It is base...
Blind Equalization (BE) refers to the problem of recovering the source symbol sequence from a signal...
Blind Equalization (BE) refers to the problem of recovering the source symbol sequence from a signal...
Inter-symbol interference (ISI) in a digital communications system can be a severe impediment to rec...
The paper extends a class of optimum Bussgang equalizers (based on Bayesian concepts) to any non-sep...
This paper addresses the problem of semi-blind equalization following a Bussgang approach. An equali...
This paper addresses the problem of semi-blind equalization following a Bussgang approach. An equali...
The statistical efficiency of a batch-processing constantmodulus blind equalizer for estimating a) t...
We present the CBEA algorithm, namely the Cross-correlation based Blind Equalization Algorithm, for ...
An improved blind channel equalization method is proposed based on the generalized eigenvector algor...
International audienceIn this paper, we study blind equalization techniques to mitigate inter-symbol...
The paper investigates blind finite-impulse-response (FIR) equalization schemes for quadrature ampli...
This paper addresses the problem of blind equalization in the case of correlated input symbols, and ...
This paper addresses the problem of blind equalization in the case of correlated input symbols, and ...
The problem of blind equalization of GMSK modulated signals is here addressed. In particular, resort...
In this paper, a new blind equalization algorithm for multilevel modulations is proposed. It is base...
Blind Equalization (BE) refers to the problem of recovering the source symbol sequence from a signal...
Blind Equalization (BE) refers to the problem of recovering the source symbol sequence from a signal...
Inter-symbol interference (ISI) in a digital communications system can be a severe impediment to rec...
The paper extends a class of optimum Bussgang equalizers (based on Bayesian concepts) to any non-sep...
This paper addresses the problem of semi-blind equalization following a Bussgang approach. An equali...
This paper addresses the problem of semi-blind equalization following a Bussgang approach. An equali...
The statistical efficiency of a batch-processing constantmodulus blind equalizer for estimating a) t...
We present the CBEA algorithm, namely the Cross-correlation based Blind Equalization Algorithm, for ...
An improved blind channel equalization method is proposed based on the generalized eigenvector algor...
International audienceIn this paper, we study blind equalization techniques to mitigate inter-symbol...
The paper investigates blind finite-impulse-response (FIR) equalization schemes for quadrature ampli...