Error correction coding based on soft-input decoding can significantly improve the reliability of flash memories. Such soft-input decoding algorithms require reliability information about the state of the memory cell. This work proposes a channel model for soft-input decoding that considers the asymmetric error characteristic of multi-level cell (MLC) and triple-level cell (TLC) memories. Based on this model, an estimation method for the channel state information is devised which avoids additional pilot data for channel estimation. Furthermore, the proposed method supports page-wise read operations
This thesis examines the effects of noise and interference on the performance of NAND flash memory. ...
Abstract—Flash memories have become a significant storage technology. However, they have various typ...
Abstract—In this work, we use an extensive empirical database of errors induced by write, read, and ...
NAND Flash memories have become a widely used non-volatile data storage technology and their applica...
The growing error rates of triple-level cell (TLC) and quadruple-level cell (QLC) NAND flash memorie...
NAND flash memory has been widely used for data storage due to its high density, high throughput, an...
The introduction of multiple-level cell (MLC) and triple-level cell (TLC) technologies reduced the r...
The multi-level-cell (MLC) NAND flash channel exhibits nonstationary behavior over increasing progra...
The binary asymmetric channel (BAC) is a model for the error characterization of multi-level cell (M...
High-density flash memories suffer from inter-cell interference (ICI) which threatens the reliabilit...
Automotive computing applications like AI databases, ADAS, and advanced infotainment systems have a ...
The performance and reliability of non-volatile NAND flash memories deteriorate as the number of pro...
The reliability of flash memories suffers from various error causes. Program/erase cycles, read dist...
NAND flash memory is a ubiquitous storage medium which has revolutionized the non-volatile memory in...
In this paper, we present two signal processing techniques for designing binary error correction cod...
This thesis examines the effects of noise and interference on the performance of NAND flash memory. ...
Abstract—Flash memories have become a significant storage technology. However, they have various typ...
Abstract—In this work, we use an extensive empirical database of errors induced by write, read, and ...
NAND Flash memories have become a widely used non-volatile data storage technology and their applica...
The growing error rates of triple-level cell (TLC) and quadruple-level cell (QLC) NAND flash memorie...
NAND flash memory has been widely used for data storage due to its high density, high throughput, an...
The introduction of multiple-level cell (MLC) and triple-level cell (TLC) technologies reduced the r...
The multi-level-cell (MLC) NAND flash channel exhibits nonstationary behavior over increasing progra...
The binary asymmetric channel (BAC) is a model for the error characterization of multi-level cell (M...
High-density flash memories suffer from inter-cell interference (ICI) which threatens the reliabilit...
Automotive computing applications like AI databases, ADAS, and advanced infotainment systems have a ...
The performance and reliability of non-volatile NAND flash memories deteriorate as the number of pro...
The reliability of flash memories suffers from various error causes. Program/erase cycles, read dist...
NAND flash memory is a ubiquitous storage medium which has revolutionized the non-volatile memory in...
In this paper, we present two signal processing techniques for designing binary error correction cod...
This thesis examines the effects of noise and interference on the performance of NAND flash memory. ...
Abstract—Flash memories have become a significant storage technology. However, they have various typ...
Abstract—In this work, we use an extensive empirical database of errors induced by write, read, and ...