5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.IT2017
Finite-Length Bounds for Joint Source-Channel Coding with Markovian Source and Additive Channel Noise to Achieve Large and Moderate Deviation Bounds
Ryo Yaguchi, Masahito Hayashi
We derive novel upper and lower finite-length bounds of the error probability in joint source-channel coding when the source obeys an ergodic Markov process and the channel is a Ma…
cs.IT2017★ 5 cited
Second Order Analysis for Joint Source-Channel Coding with Markovian Source
Ryo Yaguchi, Masahito Hayashi
We derive the second order rates of joint source-channel coding, whose source obeys an irreducible and ergodic Markov process when the channel is a discrete memoryless, while a pre…