International audienceWe address the problem of estimating blindly a linearly modulated sequence of unknown rate transmitted over an unknown frequency selective channel. We achieve the goal by extending the concept of deconvolution to a cyclo-stationary context and present a generic class of functionals, the minimization of which achieves the equalization. This defines estimates of the symbol rate: by construction, they are insensitive to a lack of excess bandwidth, bestowing a clear advantage on them over the estimates of the literature
International audienceA new blind equalization technique of non-minimum phase communication channels...
International audienceA new blind equalization technique of non-minimum phase communication channels...
International audienceThe present paper deals with blind identification and equalization of communic...
International audienceThe blind estimation of the symbol period of an unknown linearly modulated sig...
International audienceThe blind estimation of the symbol period of an unknown linearly modulated sig...
The blind estimation of the symbol period of an unknown linearly modulated signal is addressed. We p...
International audienceWe address the blind equalization of a telecommunication signal, the character...
International audienceWe address the blind equalization of a telecommunication signal, the character...
We address the blind equalization of a telecommunica-tion signal, the characteristics of which are t...
We address the blind equalization of a telecommunica-tion signal, the characteristics of which are t...
The problem of filtering a source of known statistics in noise and/or interference of unknown statis...
An equalizer is an adaptive filter that compensates for the non-ideal characteristics of a communica...
The problem of filtering a source of known statistics in noise and/or interference of unknown statis...
This paper presents a novel approach to blind equalization (deconvolution), which is based on direct...
Adaptive channel equalization without resorting to a training sequence is often referred to as blind...
International audienceA new blind equalization technique of non-minimum phase communication channels...
International audienceA new blind equalization technique of non-minimum phase communication channels...
International audienceThe present paper deals with blind identification and equalization of communic...
International audienceThe blind estimation of the symbol period of an unknown linearly modulated sig...
International audienceThe blind estimation of the symbol period of an unknown linearly modulated sig...
The blind estimation of the symbol period of an unknown linearly modulated signal is addressed. We p...
International audienceWe address the blind equalization of a telecommunication signal, the character...
International audienceWe address the blind equalization of a telecommunication signal, the character...
We address the blind equalization of a telecommunica-tion signal, the characteristics of which are t...
We address the blind equalization of a telecommunica-tion signal, the characteristics of which are t...
The problem of filtering a source of known statistics in noise and/or interference of unknown statis...
An equalizer is an adaptive filter that compensates for the non-ideal characteristics of a communica...
The problem of filtering a source of known statistics in noise and/or interference of unknown statis...
This paper presents a novel approach to blind equalization (deconvolution), which is based on direct...
Adaptive channel equalization without resorting to a training sequence is often referred to as blind...
International audienceA new blind equalization technique of non-minimum phase communication channels...
International audienceA new blind equalization technique of non-minimum phase communication channels...
International audienceThe present paper deals with blind identification and equalization of communic...