Channel and Source Coding for Non-Volatile Flash Memories

Mohammed Rajab

ISBN 10: 3658289813 / ISBN 13: 9783658289812

Published by Springer Gabler, 2020

About this Item

Channel and Source Coding for Non-Volatile Flash Memories | Mohammed Rajab | Taschenbuch | Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) | xvi | Englisch | 2020 | Springer Gabler | EAN 9783658289812 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 117870772

Bibliographic Details

• Title: Channel and Source Coding for Non-Volatile Flash Memories
• Publisher: Springer Gabler
• Publication Date: 2020
• Language: English
• ISBN 10: 3658289813
• ISBN 13: 9783658289812
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 9D millimeters 210 millimeters width by 148 millimeters height by 9 millimeters depth
• Weight: 216 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

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.