On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

Trend · papers per month

count % of corpus

3 results for “BCJR”

Data-Driven Factor Graphs for Deep Symbol Detectionstat.ML

Data-driven factor graphs improve BCJR detection robustness.

problem Implementing BCJR detection with accurate channel model knowledge.

method Learn factor graph using machine learning from labeled data.

result BCJRNet learns to implement BCJR detection from small training sets.

BCJR factor graph machine learning deep symbol detection robustness

2020-01-31abs ↗pdf ↗

Communication Algorithms via Deep Learningstat.ML

Coding theory is a central discipline underpinning wireline and wireless modems that are the workhorses of the information age. Progress in coding theory is largely driven by individual human ingenuity with sporadic breakthroughs over the past century. In this paper we study whether it is possible to automate the disco…

2018-05-23abs ↗pdf ↗

Data-Driven Symbol Detection via Model-Based Machine Learningeess.SP

Data-driven symbol detection improves performance in complex channels.

problem Designing robust symbol detectors in systems with poorly understood channels.

method Hybrid approach combining model-based algorithms with machine learning.

result Near-optimal performance of model-based algorithms achieved without channel model knowledge.

symbol detection machine learning digital communication model-based algorithms neural networks

2020-02-14abs ↗pdf ↗