Rate-adaptive codes for distributed source coding

By David P. Varodayan, Anne Aaron, Bernd Girod. Signal Processing, 2006

350 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/17b9df818ebf5393caf4a45992714750763103e6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Marco Dalai
2. João Ascenso
3. Xinpeng Zhang
4. Mourad Ouaret
5. Denis Kubasov
6. Zhenxing Qian

In Electrical and Electronic Engineering

1. Marco Dalai
2. João Ascenso
3. Xinpeng Zhang
4. Mourad Ouaret
5. Denis Kubasov
6. Zhenxing Qian

In Molecular Biology

1. João Ascenso
2. Xinpeng Zhang
3. Zhenxing Qian

Citations in the corpus

• Reversible Data Hiding in Encrypted Images With Distributed Source Encoding (2016, methodology): “In the Slepian–Wolf encoding and decoding, we use the same LDPC matrix H as used in [26] with q = 0.”
• The DISCOVER codec: Architecture, Techniques and Evaluation (2007, methodology): “The LDPCA codes better approach the capacity of a variety of communication channels, including the virtual channel in DVC, when compared to the turbo codes [9].”