Gérard Favier

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In this paper, we present new space-time multiplexing codes (STMC) for multiple-antenna transmissions, which rely on a three-dimensional tensor modeling of the transmitted/received signals. The proposed codes combine spatial multiplexing and space-time coding by spreading a linear combination of different sub-streams of data over the space and time(More)
In this paper, we formulate a new tensor decomposition herein called constrained factor (CONFAC) decomposition. It consists in decomposing a third-order tensor into a triple sum of rank-one tensor factors, where interactions involving the components of different tensor factors are allowed. The interaction pattern is controlled by three constraint matrices(More)
In this paper, we consider an uplink multiple-antenna code-division multiple-access (CDMA) system linking several multiple-antenna mobile users to one multiple-antenna base station. For this system, a constrained third-order tensor decomposition is introduced for modeling the multiple-antenna transmitter as well as the received signal. The constrained(More)
New batch and adaptive methods are proposed to optimize the Volterra kernels expansions on a set of Laguerre functions. Each kernel is expanded on an independent Laguerre basis. The expansion coefficients, also called Fourier coefficients, are estimated in the MMSE sense or by applying the gradient technique. An analytical solution to Laguerre poles(More)
In this paper, we present an overview of constrained parallel factor (PARAFAC) models where the constraints model linear dependencies among columns of the factor matrices of the tensor decomposition or, alternatively, the pattern of interactions between different modes of the tensor which are captured by the equivalent core tensor. Some tensor prerequisites(More)
In two-hop amplify-and-forward (AF) relay systems, a source node sends information to one or several relay nodes that amplify and retransmit the received signals to a destination node, without decoding. Such AF relaying-based cooperative communications allow to improve communication reliability due to increased channel gains and space diversity at the(More)
In this paper, a Blind Source Separation (BSS) and channel identification method using second order statistics is proposed for nonlinear multiuser communication channels. It is based on the joint diagonalization of a set of covariance matrices. Modulation codes (constrained codes) are used to ensure the orthogonality of nonlinear combinations of the(More)