Tootfinder

I did some experiments measuring propagation delay in a simple chain of 3 digital inverters (NOT gates) (74LS04).
I'm honestly not sure my entry-level scope is fast enough to accurately measure this, but it's fun to try.
It's also interesting to watch the signals completely freak out when you change the input voltage too slowly, but I didn't make a screenshot of that.
#electronics

This https://arxiv.org/abs/2412.07911 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Turbo Receiver Design with Joint Detection and Demapping for Coded Differential PSK in Bursty Impulsive Noise Channels
It has been recognized that the impulsive noise (IN) generated by power devices poses significant challenges to wireless receivers. In this paper, we comprehensively assess the achievable information rate (AIR) for the well-established Markov-Middleton IN model with a phase-shift keying (PSK) input sequence across various channel conditions, including matched and mismatched decoding scenarios. Upon determining information-theoretic bounds, we propose an optimal turbo-DPSK-IN receiver design bas…

Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
Chuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai
https://arxiv.org/abs/2506.00983

Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
Proactive search in conversations (PSC) aims to reduce user effort in formulating explicit queries by proactively retrieving useful relevant information given conversational context. Previous work in PSC either directly uses this context as input to off-the-shelf ad-hoc retrievers or further fine-tunes them on PSC data. However, ad-hoc retrievers are pre-trained on short and concise queries, while the PSC input is longer and noisier. This input mismatch between ad-hoc search and PSC limits retr…

A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models
Haley Stone, Jing Du, Hao Xue, Matthew Scotch, David Heslop, Andreas Z\"ufle, Chandini Raina MacIntyre, Flora Salim
https://arxiv.org/abs/2506.09076

A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models
Pathogen genome data offers valuable structure for spatial models, but its utility is limited by incomplete sequencing coverage. We propose a probabilistic framework for inferring genetic distances between unsequenced cases and known sequences within defined transmission chains, using time-aware evolutionary distance modeling. The method estimates pairwise divergence from collection dates and observed genetic distances, enabling biologically plausible imputation grounded in observed divergence …

This https://arxiv.org/abs/2503.07352 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Score-informed Music Source Separation: Improving Synthetic-to-real Generalization in Classical Music
Music source separation is the task of separating a mixture of instruments into constituent tracks. Music source separation models are typically trained using only audio data, although additional information can be used to improve the model's separation capability. In this paper, we propose two ways of using musical scores to aid music source separation: a score-informed model where the score is concatenated with the magnitude spectrogram of the audio mixture as the input of the model, and a mo…

High-charge relativistic electrons by vacuum laser acceleration from plasma mirrors using flying focus pulses
Jiaxin Liu, Zeyue Pang, Hehanlin Wang, Zi-Yu Chen
https://arxiv.org/abs/2505.24614

High-charge relativistic electrons by vacuum laser acceleration from plasma mirrors using flying focus pulses
Relativistic electron beams produced by intense lasers over short distances have important applications in high energy density physics and medical technologies. Vacuum laser acceleration with plasma mirrors injectors has garnered substantial research interest recently. However, a persistent challenge remains unresolved that electrons inevitably detach from the laser acceleration phase due to velocity mismatch. Here, we employ flying focus lasers to address this limitation. Through three-dimensi…

PseudoVC: Improving One-shot Voice Conversion with Pseudo Paired Data
Songjun Cao, Qinghua Wu, Jie Chen, Jin Li, Long Ma
https://arxiv.org/abs/2506.01039 h…

PseudoVC: Improving One-shot Voice Conversion with Pseudo Paired Data
As parallel training data is scarce for one-shot voice conversion (VC) tasks, waveform reconstruction is typically performed by various VC systems. A typical one-shot VC system comprises a content encoder and a speaker encoder. However, two types of mismatches arise: one for the inputs to the content encoder during training and inference, and another for the inputs to the speaker encoder. To address these mismatches, we propose a novel VC training method called \textit{PseudoVC} in this paper. …