In this paper, we address the problem of identifying convolutive channels using a Gaussian maximum-likelihood (ML) approach when short training sequences ...

Abstract—In this paper, we address the problem of identifying convolutive channels using a Gaussian maximum-likelihood (ML) approach when short training ...

In this paper, we address the problem of identifying convolutive channels using a Gaussian Maximum Likelihood (ML) approach when short training sequences ...

This paper addresses the problem of identifying convolutive channels using a Gaussian maximum-likelihood (ML) approach when short training sequences are ...

Gaussian maximum-likelihood channel estimation with short training sequences. O Rousseaux, G Leus, P Stoica, M Moonen. Signal Processing Systems. Research ...

Gaussian maximum-likelihood channel estimation with short training sequences. dc.contributor.author, Rousseaux, Olivier. dc.contributor.author, Leus, Geert. dc ...

Mar 9, 2006 · html. Create Close. Gaussian maximum-likelihood channel estimation with short training sequences. Rousseaux, O. Leus, G. Stoica, Peter. Uppsala ...

We present two approaches to stochastic maximum likelihood identification of multiple FIR channels, where the input symbols are assumed Gaussian and the ...

in the form of a (short) training sequence: we call the cor- responding equalization methods semi-blind. It does not appear to be easy to incorporate such a ...

waveform estimating method using short training sequences is proposed in [5] and in [4] a Maximum. Likelihood (ML) channel estimation method, which uses the ...