Coding and Signal Processing for Data Storage Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 2674
Special Issue Editors
Interests: coding theory; information theory; signal processing for data storage systems; digital communications
Interests: coding theory and its applications; combinatorics; algorithms; optimization; codes for DNA data storage; deletion/insertion correcting codes; constrained codes for communication and storage systems
Special Issue Information
Dear Colleagues,
Data storage systems have revolutionized information technology over the past several decades, evolving from magnetic recording, optical recording, and ultra-high density magnetic recording to flash memories, distributed storage, various emerging non-volatile memory technologies (such as MRAM, STT-RAM, and ReRAM), and DNA-based data storage. The continuous improvement in the density of these data storage systems, as well as their various other specifications, requires innovative signal processing and coding techniques to combat severe noise and interference, guaranteeing system reliability, efficiency, security, and privacy.
The goal of the Special Issue is to showcase new research that addresses both the theoretical and practical aspects of coding and signal processing for data storage systems. We invite original contributions, as well as comprehensive surveys, including, but not limited to, the following areas:
- Modelling of data storage channels;
- Information theory for data storage channels and distributed storage networks;
- Signal detection for data storage channels;
- Coding for storage channels and distributed storage networks;
- Error-correcting codes and constrained codes;
- Codes for flash memories and emerging non-volatile memory technologies;
- Coding techniques for DNA-based data storage;
- Machine learning for data storage channels and distributed storage networks;
- Security and privacy in cloud and edge computing, networking, and storage;
- Signal processing for cloud and edge computing, networking, and storage systems.
Dr. Kui Cai
Dr. Tuan Thanh Nguyen
Guest Editors
Manuscript Submission Information
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Keywords
- error-correction codes
- constrained codes
- efficient encoding/decoding algorithms
- signal processing
- channel capacity
- machine learning
- DNA data storage
- non-volatile memory
- distributed storage
- security and privacy
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