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Publications

Publications depuis 2008

Vous pouvez retrouver les publications du laboratoire depuis 2008 sur le site des archives ouvertes du CNRS, et utiliser le moteur de recherche pour accéder à une publication particulière (onglets "Consultation" ou "Recherche simple").

Les publications des équipes depuis 2008 peuvent être également consultées à partir des liens suivants :

Publications antérieures à 2008

Les publications plus anciennes se trouvent à cette adresse.

Nos dix dernières publications

[hal-02357222] Strategic Communication with Side Information at the Decoder

We investigate the problem of strategic point-to-point communication with side information at the decoder, in which the encoder and the decoder have mismatched distortion functions. The decoding process is not supervised, it returns the output sequence that minimizes the decoder's distortion function. [...]

[hal-02875614] L'IDHN : une structure innovante au service de la polysémie du numérique

Créée dans le cadre des universités nouvelles en 1991, CY Cergy Paris Université est une université de l'Ouest parisien. Implantée principalement dans trois villes du Val-d'Oise : Cergy, Pontoise et Neuville-sur-Oise, elle comporte 5 pôles thématiques, 23 laboratoires et 2 structures fédératives dont l'Institut des Humanités numériques (IDHN). [...]

[hal-02887550] MICN: a network coding protocol for ICN with multiple distinct interests per generation

In Information-Centric Networking (ICN), consumers send interest packets to the network and receive data packets as a response to their request without taking care of the producers, which have provided the content, contrary to conventional IP networks. ICN supports the use of multiple paths; however, with multiple consumers and producers, coordination among the nodes is required to efficiently use the network resources. [...]

[hal-02881110] Strong Coordination over Noisy Channels with Strictly Causal Encoding

We consider a network of two nodes separated by a noisy channel, in which the input and output signals have to be coordinated with the source and its reconstruction. In the case of strictly causal encoding and non-causal decoding, we prove inner and outer bounds for the strong coordination region and show that the inner bound is achievable with polar codes. [...]

[hal-02934724] Etude de la coordination interpersonnelle de patients souffrant de schizophrénie en Interaction Homme Robot

L'objectif de cette étude est d'analyser la coordination interpersonnelle chez les patients schizophrènes (SZ) en utilisant un robot humanoïde contrôlé par un modèle neuronal entraîné par le mouvement humain et capable de se synchroniser sur ce dernier. [...]

[hal-02906973] DNNZip: Selective Layers Compression Technique in Deep Neural Network Accelerators

In Deep Neural Network (DNN) accelerators, the on-chip traffic and memory traffic accounts for a relevant fraction of the inference latency and energy consumption. A major component of such traffic is due to the moving of the DNN model parameters from the main memory to the memory interface and from the latter to the processing elements (PEs) of the accelerator. [...]

[hal-02906962] RF-NoC cognitif pour les architectures manycore

Le développement des architectures manycore avec des milliers de coeurs sur une même puce, révèle de nouveaux défis, notamment vis-à-vis des interconnex-ions entre coeurs ou groupe de coeurs. L'introduction d'interconnexion RF combiné avec l'OFDMA (Orthogo-nal Frequency-Division Multiple Access) s'avère une solution prometteuse. [...]

[hal-02893151] Deep Learning Based Channel Estimation Schemes for IEEE 802.11p Standard

IEEE 802.11p standard is specially developed to define vehicular communications requirements and support cooperative intelligent transport systems. In such environment, reliable channel estimation is considered as a major critical challenge for ensuring the system performance due to the extremely time-varying characteristic of vehicular channels. [...]

[hal-02895538] Adaptive Channel Estimation based on Deep Learning

Channel state information is very critical in various applications such as physical layer security, indoor localization, and channel equalization. In this paper, we propose an adaptive channel estimation based on deep learning that assumes the signal-to-noise power ratio (SNR) knowledge at the receiver, and we show that the proposed scheme highly outperforms linear minimum mean square error based channel estimation in terms of normalized minimum square error, with similar order of online computational complexity. [...]

[hal-02869457] Spectral and Energy Efficient Fast-OFDM with Index Modulation for Optical Wireless Systems

This letter introduces fast-orthogonal frequency-division multiplexing (FOFDM) with index modulation (IM) based on discrete cosine transform (DCT) for optical wireless systems. For intensity-modulation and direct detection, the proposed approach realizes a real-valued intensity waveform employing real-valued one-dimensional modulation formats and DCT; and brings about non-negativity via direct current bias. [...]