Channel and Source Coding for Non-Volatile Flash Memories
(Sprache: Englisch)
Mohammed Rajab proposes different technologies like the error correction coding (ECC), sources coding and offset calibration that aim to improve the reliability of the NAND flash memory with low implementation costs for industrial application. The author...
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Klappentext zu „Channel and Source Coding for Non-Volatile Flash Memories “
Mohammed Rajab proposes different technologies like the error correction coding (ECC), sources coding and offset calibration that aim to improve the reliability of the NAND flash memory with low implementation costs for industrial application. The author examines different ECC schemes based on concatenated codes like generalized concatenated codes (GCC) which are applicable for NAND flash memories by using the hard and soft input decoding. Furthermore, different data compression schemes are examined in order to reduce the write amplification effect and also to improve the error correct capability of the ECC by combining both schemes.
Inhaltsverzeichnis zu „Channel and Source Coding for Non-Volatile Flash Memories “
Reduction of the Write Amplification Effect by using Data Compression Scheme.- Error Correcting Code and Offset Calibration for NAND Flash Memory.- Soft Input Decoding for Generalized Concatenated Codes (GCC).
Autoren-Porträt von Mohammed Rajab
Mohammed Rajab has a B.S. in Information Technology and a M.Sc. in Computer Science in 2011 and 2014, respectively. Since 2014 he is scientific assistant at the Institute of System Dynamics (ISD) at the University of Applied Sciences in Konstanz, Germany. He received his PhD in computer science and engineering in July 2019 from Ulm University. His main areas of research interest are signal processing for communication systems, data compression and channel coding in non-volatile memories.
Bibliographische Angaben
- Autor: Mohammed Rajab
- 2020, 1st ed. 2020, XVI, 143 Seiten, Maße: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3658289813
- ISBN-13: 9783658289812
Sprache:
Englisch
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