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A Dataset Similarity Evaluation Framework for Wireless Communications and Sensing
This paper introduces a task-specific, model-agnostic framework for evaluating dataset similarity, providing a means to assess and compare dataset realism and quality.
Deep OFDM Channel Estimation: Capturing Frequency Recurrence
In this paper, we propose a deep-learning-based channel estimation scheme in an orthogonal frequency division multiplexing (OFDM) system.
Frequency-aware Learned Image Compression for Quality Scalability
Spatial frequency analysis and transforms serve a central role in most engineered image and video lossy codecs, but are rarely employed in neural network (NN)-based approaches.
Vandermonde Constrained Tensor Decomposition for Hybrid Beamforming in Multi-Carrier MIMO Systems
The proposed method strikes the balance between performance, overhead and complexity.
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