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Found 4 papers, 1 papers with code
Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise
In addition to detection over the joint ISI and IN states we also focused on another scenario where trellis transitions are not trivial: detection for the ISI channel with AWGN with inaccurate knowledge of the channel memory at the receiver.
Analysis of Impulsive Interference in Digital Audio Broadcasting Systems in Electric Vehicles
Recently, new types of interference in electric vehicles (EVs), such as converters switching and/or battery chargers, have been found to degrade the performance of wireless digital transmission systems.
Yi: Open Foundation Models by 01.AI
The Yi model family is based on 6B and 34B pretrained language models, then we extend them to chat models, 200K long context models, depth-upscaled models, and vision-language models.
Ranked #1 on
Chatbot
on AlpacaEval
On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledge
An underestimation of the memory largely degrades the performance of both BCJR and BCJRNet, especially in a slow-decaying channel.
