Tootfinder

I gave a talk at SCD today, thanks for attending and for the good feedback - if you have more questions, keep them coming.
Until then, here are the slides and a link to the repository with the config.
https://winkelwagen.de/2025/09/16/deploying-shopwa…

NEFT: A Unified Transformer Framework for Efficient Near-Field CSI Feedback in XL-MIMO Systems
Haiyang Li, Tianqi Mao, Pengyu Wang, Ruiqi Liu, Shunyu Li, Zhaocheng Wang
https://arxiv.org/abs/2509.12748

NEFT: A Unified Transformer Framework for Efficient Near-Field CSI Feedback in XL-MIMO Systems
Extremely large-scale multiple-input multiple-output (XL-MIMO) systems, operating in the near-field region due to their massive antenna arrays, are a key enabler of next-generation wireless communications but face significant challenges in channel state information (CSI) feedback. Deep learning has emerged as a powerful tool by learning compact CSI representations for feedback. However, existing methods struggle to capture the intricate structure of near-field CSI while incurring prohibitive co…

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems
Ruizhi Zhang, Yuchen Zhang, Lipeng Zhu, Ying Zhang, Rui Zhang
https://arxiv.org/abs/2509.10487

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems
This paper presents an end-to-end deep learning framework in a movable antenna (MA)-enabled multiuser communication system. In contrast to the conventional works assuming perfect channel state information (CSI), we address the practical CSI acquisition issue through the design of pilot signals and quantized CSI feedback, and further incorporate the joint optimization of channel estimation, MA placement, and precoding design. The proposed mechanism enables the system to learn an optimized transm…

Apple OS26 updates are coming today #apple #update #day

Exploiting Discriminative Codebook Prior for Autoregressive Image Generation
Longxiang Tang, Ruihang Chu, Xiang Wang, Yujin Han, Pingyu Wu, Chunming He, Yingya Zhang, Shiwei Zhang, Jiaya Jia
https://arxiv.org/abs/2508.10719

Exploiting Discriminative Codebook Prior for Autoregressive Image Generation
Advanced discrete token-based autoregressive image generation systems first tokenize images into sequences of token indices with a codebook, and then model these sequences in an autoregressive paradigm. While autoregressive generative models are trained only on index values, the prior encoded in the codebook, which contains rich token similarity information, is not exploited. Recent studies have attempted to incorporate this prior by performing naive k-means clustering on the tokens, helping to…

A Phase Synthesizer for Decorrelation to Improve Acoustic Feedback Cancellation
Klaus Linhard, Philipp Bulling
https://arxiv.org/abs/2510.12377 https://arx…

A Phase Synthesizer for Decorrelation to Improve Acoustic Feedback Cancellation
Undesired acoustic feedback is a known issue in communication systems, such as speech in-car communication, public address systems, or hearing aids. Without additional precautions, there is a high risk that the adaptive filter - intended to cancel the feedback path - also suppresses parts of the desired signal. One solution is to decorrelate the loudspeaker and microphone signals. In this work, we combine the two decorrelation approaches frequency shifting and phase modulation in a unified fram…

Lego table is coming along. The center piece is done. And ready to be finished. I need to make the legs for both sides (4x) and the two leaves.
We have a good idea on the finish. The "walnut" color on the top right is so far the preference.
#woodworking
#inprogress

Semantic Rate-Distortion Theory with Applications
Yi-Qun Zhao, Zhi-Ming Ma, Geoffrey Ye Li, Shuai Yuan, Tong Ye, Chuan Zhou
https://arxiv.org/abs/2509.10061 https://

Semantic Rate-Distortion Theory with Applications
Artificial intelligence (AI) is ushering in a new era for communication. As a result, the establishment of a semantic communication framework is putting on the agenda. Based on a realistic semantic communication model, this paper develops a rate-distortion framework for semantic compression. Different from the existing works primarily focusing on decoder-side estimation of intrinsic meaning and ignoring its inherent issues, such as ambiguity and polysemy, we exploit a constraint of conditional …

The role of communication delays in the optimal control of spatially invariant systems
Luca Ballotta, Juncal Arbelaiz, Vijay Gupta, Luca Schenato, Mihailo R. Jovanovi\'c
https://arxiv.org/abs/2509.09269

The role of communication delays in the optimal control of spatially invariant systems
We study optimal proportional feedback controllers for spatially invariant systems when the controller has access to delayed state measurements received from different spatial locations. We analyze how delays affect the spatial locality of the optimal feedback gain leveraging the problem decoupling in the spatial frequency domain. For the cases of expensive control and small delay, we provide exact expressions of the optimal controllers in the limit for infinite control weight and vanishing del…

Gelfand-Levitan condition for Dirac operators
Jie Zeng
https://arxiv.org/abs/2508.09002 https://arxiv.org/pdf/2508.09002

Gelfand-Levitan condition for Dirac operators
We discuss how to generalize a Dirac operator such that the solution of a Dirac equation is of bounded variation rather than continuous. We build the spectral theory for generalized Dirac operators and discuss the connection between them and canonical systems. With the help of de Branges' theory, we discuss the de Branges space of such an operator and the norm endowed. On the other hand, the Paley-Wiener theorem gives us a chance to recover a Dirac operator from a function that plays the same r…