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Daily ArXiv

A curated collection of arXiv papers with open-source implementations, specifically focusing on Signal Processing (eess.SP) and Information Theory (cs.IT) categories. This repository is designed to serve researchers and practitioners in information and communication systems by providing easy access to papers that come with their source code implementations.

Overview

This project automatically tracks and analyzes papers from eess.SP (Electrical Engineering and Systems Science - Signal Processing) and cs.IT (Computer Science - Information Theory) categories on arXiv daily using GitHub Actions. It specifically identifies and catalogs papers that have released their source code, making it easier for researchers in information and communication systems to find implementable research work.

The main features include:

  • Daily updates of papers with open-source implementations
  • Focus on signal processing and information theory research
  • Automatic tracking and organization

Latest Updates

date paper code
2412.10489 cognitioncapturer: decoding visual stimuli from human eeg signal with multimodal information cognitioncapturer
2412.14522 cwa-t: a channelwise autoencoder with transformer for eeg abnormality detection cae-t
2412.17851 noisereduce: domain general noise reduction for time series signals noisereduce
2412.18348 a zero-shot physics-informed dictionary learning approach for sound field reconstruction local_soundfield_reconstruction
2412.16642 l3tc: leveraging rwkv for learned lossless low-complexity text compression l3tc-leveraging-rwkv-for-learned-lossless-low-complexity-text-compression
2412.17538 robust heart rate detection via multi-site photoplethysmography MultiSite-PPG-Robust_HeartRate
2412.17646 rate of model collapse in recursive training rate-of-model-collapse

Archives