Abstract
In this chapter, low-density parity-check (LDPC) codes , a class of powerful iteratively decodable error correcting codes, are introduced. The chapter first reviews some basic concepts and results in information theory such as Shannon’s channel capacity and channel coding theorem . It then overviews the flash memory channel model. Next, it addresses binary LDPC codes describing both their structure and efficient implementation, and their belief propagation and reduced-complexity decoding algorithms. Non-binary LDPC codes and their belief propagation decoding algorithm are also addressed. Finally simulation results are provided.
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Notes
- 1.
The capacity of the BSC only depends on the crossover probability and not on the values assumed by X and Y.
- 2.
For unstructured ensemble, the minimum variable and check nodes are usually set to. The reason for this choice is out of the scope of this chapter.
- 3.
- 4.
The words “horizontal” and “vertical” remind us that the check nodes and the variable nodes are associated with the rows and the columns of the parity-check matrix , respectively.
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Acknowledgements
The author wishes to thank R. Micheloni and A. Marelli for their careful proofcheck of this chapter.
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Paolini, E. (2018). Low-Density Parity-Check (LDPC) Codes. In: Micheloni, R., Marelli, A., Eshghi, K. (eds) Inside Solid State Drives (SSDs). Springer Series in Advanced Microelectronics, vol 37. Springer, Singapore. https://doi.org/10.1007/978-981-13-0599-3_12
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