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20052023
most citedWindowed Decoding of Protograph-based LDPC Convolutional Codes over Erasure Channels

212 citations · 732 across the 56 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.IT2020

Polar Coding for Multi-level 3-Receiver Broadcast Channels

Karthik Nagarjuna Tunuguntla, Paul H. Siegel

We consider achieving the rates in the capacity region of a multi-level 3-receiver broadcast channel, in which the second receiver is degraded with respect to the first receiver, w…

cs.IT2020★ 1 cited

PR-NN: RNN-based Detection for Coded Partial-Response Channels

Simeng Zheng, Yi Liu, Paul H. Siegel

In this paper, we investigate the use of recurrent neural network (RNN)-based detection of magnetic recording channels with inter-symbol interference (ISI). We refer to the propose…

cs.IT2020★ 1 cited

On the Performance of Direct Shaping Codes

Yi Liu, Paul H. Siegel

In this work, we study a recently proposed direct shaping code for flash memory. This rate-1 code is designed to reduce the wear for SLC (one bit per cell) flash by minimizing the…

cs.IT2020

Variable-Length Constrained Coding and Kraft Conditions: The Parity-Preserving Case

Ron M. Roth, Paul H. Siegel

Previous work by the authors on parity-preserving fixed-length constrained encoders is extended to the variable-length case. Parity-preserving variable-length encoders are formally…

cs.IT2020★ 2 cited

Functional Error Correction for Robust Neural Networks

Kunping Huang, Paul Siegel, Anxiao +1

When neural networks (NeuralNets) are implemented in hardware, their weights need to be stored in memory devices. As noise accumulates in the stored weights, the NeuralNet's perfor…

cs.IT2020

Rate-Constrained Shaping Codes for Structured Sources

Yi Liu, Pengfei Huang, Alexander W. Bergman +1

Shaping codes are used to encode information for use on channels with cost constraints. Applications include data transmission with a power constraint and, more recently, data stor…