Tootfinder

🇺🇦 #NowPlaying on #BBC6Music's #6MusicsForeverDark
Britney Spears:
🎵 Gimme More (Junkie XL Dub)
#BritneySpears
https://zinzan.bandcamp.com/album/britney-spears-gimme-more-zinzan-remix
https://open.spotify.com/track/6H01lZiYF1zWlPqpJlu9as

This https://arxiv.org/abs/2503.04211 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Adaptive Subarray Segmentation: A New Paradigm of Spatial Non-Stationary Near-Field Channel Estimation for XL-MIMO Systems
To address the complexities of spatial non-stationary (SnS) effects and spherical wave propagation in near-field channel estimation (CE) for extremely large-scale multiple-input multiple-output (XL-MIMO) systems, this paper proposes an SnS-aware CE framework based on adaptive subarray partitioning. We first investigate spherical wave propagation and various SnS characteristics and construct an SnS near-field channel model for XL-MIMO systems. Due to the limitations of uniform array partitioning…

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model
Xiaoli Wei, Chunxia Zhang, Baisong Jiang, Anxiang Di, Deng Xiong, Jiangshe Zhang, Mingming Gong
https://arxiv.org/abs/2506.07923

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model
Seismic data interpolation is a critical pre-processing step for improving seismic imaging quality and remains a focus of academic innovation. To address the computational inefficiencies caused by extensive iterative resampling in current plug-and-play diffusion interpolation methods, we propose the diffusion-enhanced sparse attention transformer (Diff-spaformer), a novel deep learning framework. Our model integrates transformer architectures and diffusion models via a Seismic Prior Extraction …