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Found 12 papers, 1 papers with code
Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation
Existing methods suffer from the problem of brain tumor deformation during translation, as they fail to focus on the tumor areas when translating the whole images.
Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion
For the case with unknown semantic source distribution, while only a set of the source samples is available, we propose a neural-network-based method by leveraging the generative networks to learn the semantic source distribution.
AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Algorithm
Mobile edge caching (MEC) is a promising technique to improve the quality of service (QoS) for mobile users (MU) by bringing data to the network edge.
A Joint Model and Data Driven Method for Distributed Estimation
To this end, we propose a joint model and data driven distributed estimation method by designing the optimal quantizers and fusion center (FC) based on the Bayesian and minimum mean square error (MMSE) criterions.
Joint Task and Data Oriented Semantic Communications: A Deep Separate Source-channel Coding Scheme
This paper proposes a deep separate source-channel coding (DSSCC) framework for the joint task and data oriented semantic communications (JTD-SC) and utilizes the variational autoencoder approach to solve the rate-distortion problem with semantic distortion.
Joint Model and Data Driven Receiver Design for Data-Dependent Superimposed Training Scheme with Imperfect Hardware
Data-dependent superimposed training (DDST) scheme has shown the potential to achieve high bandwidth efficiency, while encounters symbol misidentification caused by hardware imperfection.
Label Design-based ELM Network for Timing Synchronization in OFDM Systems with Nonlinear Distortion
Due to the nonlinear distortion in Orthogonal frequency division multiplexing (OFDM) systems, the timing synchronization (TS) performance is inevitably degraded at the receiver.
Resonant Beam Communications with Echo Interference Elimination
Resonant beam communications (RBCom) is capable of providing wide bandwidth when using light as the carrier.
Resonant Beam Communications: Principles and Designs
Wireless optical communications (WOC) has carriers up to several hundred terahertz, which offers several advantages, such as ultrawide bandwidth and no electromagnetic interference.
ELM-based Frame Synchronization in Burst-Mode Communication Systems with Nonlinear Distortion
In burst-mode communication systems, the quality of frame synchronization (FS) at receivers significantly impacts the overall system performance.
Deep Learning for CSI Feedback Based on Superimposed Coding
Massive multiple-input multiple-output (MIMO) with frequency division duplex (FDD) mode is a promising approach to increasing system capacity and link robustness for the fifth generation (5G) wireless cellular systems.
