WE2.R6.1

Mutual Information of a class of Poisson-type Channels using Markov Renewal Theory

Maximilian Gehri, Nicolai Engelmann, Heinz Koeppl, Technische Universität Darmstadt, Germany
Session:
Information Theory in Biology
Track:
17: Information and Coding in Biology
Location:
Sigma/Delta
Presentation Time:
Wed, 10 Jul, 11:30 - 11:50
Session Chair:
Mary Wootters, Stanford University
Presentation
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Discussion
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Session WE2.R6
WE2.R6.1: Mutual Information of a class of Poisson-type Channels using Markov Renewal Theory
Maximilian Gehri, Nicolai Engelmann, Heinz Koeppl, Technische Universität Darmstadt, Germany
WE2.R6.2: Capacity of Runlength-Limited and GC-Content Constrained Codes for DNA Data Storage
Filip Paluncic, Daniella Paluncic, B. T. Maharaj, University of Pretoria, South Africa
WE2.R6.3: Representing Information on DNA using Patterns Induced by Enzymatic Labeling
Daniella Bar-Lev, Tuvi Etzion, Technion – Israel Institute of Technology, Haifa, Israel, Israel; Eitan Yaakobi, Technion – Israel Institute of Technology, Israel; Zohar Yakhini, Reichman University, Israel
WE2.R6.4: Optimizing the Decoding Probability and Coverage Ratio of Composite DNA
Tomer Cohen, Eitan Yaakobi, Technion, Israel
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