Add to ORKGWe present a least squares (LS) algorithm for blind channel equalization based on a reformulation of the Godard algorithm. A transformation for the equalizer parameters is considered to convert the nonlinear LS problem inherent in the Godard algorithm t
Tsatsanis and Xu have applied the constrained minimum output variance (CMOV) principle to directly b...
Blind equalization techniques have been developed over the past three decades that estimate and equa...
In this paper, we present a blind equalization algorithm for noisy IIR channels when the channel inp...
Summarization: The object of this work is the study of a direct blind equalization algorithm which a...
In some recent papers new algorithms for blind adaptive equalization were proposed. These algorithms...
Summarization: The least-squares and the subspace methods are well known approaches for blind channe...
This paper introduces a new algorithm for blind equalization which uses a set of cost functions. Eac...
An equalizer is an adaptive filter that compensates for the non-ideal characteristics of a communica...
Baud-rate blind equalization algorithms may converge to undesirable stable equilibria due to differe...
New blind adaptive channel equalization techniques based on a deterministic optimization criterion a...
International audienceThis document surveys the blind equalization issue. Our approach is based on t...
In this thesis the concept of Blind Channel Equalization has been examined and algorithms suitable t...
International audienceThis document surveys the blind equalization issue. Our approach is based on t...
In this thesis the concept of Blind Channel Equalization has been examined and algorithms suitable t...
In this thesis the concept of Blind Channel Equalization has been examined and algorithms suitable t...
Tsatsanis and Xu have applied the constrained minimum output variance (CMOV) principle to directly b...
Blind equalization techniques have been developed over the past three decades that estimate and equa...
In this paper, we present a blind equalization algorithm for noisy IIR channels when the channel inp...
Summarization: The object of this work is the study of a direct blind equalization algorithm which a...
In some recent papers new algorithms for blind adaptive equalization were proposed. These algorithms...
Summarization: The least-squares and the subspace methods are well known approaches for blind channe...
This paper introduces a new algorithm for blind equalization which uses a set of cost functions. Eac...
An equalizer is an adaptive filter that compensates for the non-ideal characteristics of a communica...
Baud-rate blind equalization algorithms may converge to undesirable stable equilibria due to differe...
New blind adaptive channel equalization techniques based on a deterministic optimization criterion a...
International audienceThis document surveys the blind equalization issue. Our approach is based on t...
In this thesis the concept of Blind Channel Equalization has been examined and algorithms suitable t...
International audienceThis document surveys the blind equalization issue. Our approach is based on t...
In this thesis the concept of Blind Channel Equalization has been examined and algorithms suitable t...
In this thesis the concept of Blind Channel Equalization has been examined and algorithms suitable t...
Tsatsanis and Xu have applied the constrained minimum output variance (CMOV) principle to directly b...
Blind equalization techniques have been developed over the past three decades that estimate and equa...
In this paper, we present a blind equalization algorithm for noisy IIR channels when the channel inp...