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soft decision decoding algorithm

Specifically, we present simulation results where such soft decoding of RS codes outperforms the existing soft decision decoding algorithms of Koetter and Vardy as well as the algorithm of Das and Vardy on Gilbert-Elliott channels (under QAM and BPSK modulations) for channels that are more bursty.

Improved Soft Decoding of Reed-Solomon Codes on Gilbert-Elliott Channels

soft decision decoding algorithm

The belief propagation (BP) algorithm is a commonly used soft decision decoding algorithm.

Low Complexity Decoding Scheme for LDPC Codes Based on Belief Propagation Algorithm

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10.23919/JCC.2021.04.006

Benefiting from strong decoding capabilities, soft-decision decoding has been used to replace hard-decision decoding in various communication systems, and NAND flash memory systems are no exception.

Program error mitigation in MLC NAND flash memory with soft decision decoders

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10.1109/ICCCS52626.2021.9449218

The Min-Sum (MS) algorithm, known as one of the LDPC Soft-Decision decoding algorithms, is widely used with guaranteed performance.

Low latency Improved Weighted Hard-Decision LDPC Algorithm for 5G NR

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10.1109/SIU.2019.8806411

The proposed design changes the scrambling operation, and replaces the hard decoding of BPSK modulation symbols with soft decision decoding.

A Novel Narrowband Internet Of Things NPUSCH Format 2 Receiver

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10.1109/ANTS47819.2019.9118163

Bit error rate performance evaluation of the implemented hard and soft decision decoding have been carried out by varying trellis depth and soft quantization bits.

A Novel Approach for FPGA Implementation of Register Exchange Based Viterbi Decoder and Re-Encoding based Node Synchronizer

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10.1109/EDSSC.2019.8753911

In order to solve the read latency and the reliability degradation, caused by LDPC soft decision decoding and by the increase of flash storage density, respectively, a dynamic block grouping approach is proposed to divide all variable nodes (VNs) into three sub-blocks.

A Low Latency Decoding Algorithm for Grouping Variable Nodes on TLC NAND Flash Devices

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10.1109/ISIT.2019.8849456

Specifically, we present simulation results where such soft decoding of RS codes outperforms the existing soft decision decoding algorithms of Koetter and Vardy as well as the algorithm of Das and Vardy on Gilbert-Elliott channels (under QAM and BPSK modulations) for channels that are more bursty.

Improved Soft Decoding of Reed-Solomon Codes on Gilbert-Elliott Channels

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10.24138/jcomss.v15i4.764

Because SI very important at receiver, convolutional code with Viterbi-Soft Decision Decoding (V-SDD) is used to protect it against channel distortion.

PAPR Reduction and Data Security Improvement for OFDM Technique Using Chaos System

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10.1007/978-3-030-19153-5_71

The belief propagation (BP) algorithm is a commonly used soft decision decoding algorithm.

Low Complexity Decoding Scheme for LDPC Codes Based on Belief Propagation Algorithm

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10.1109/SPAWC.2019.8815460

These results are verified by simulations, considering terminated convolutional codes with different coding rates, minimum mean-squared error linear equalization (MMSE-LE) and soft decision decoding.

Analysis of THz Communications in the Finite Blocklength Regime

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Soft Decision Decoding - Benefiting from strong decoding capabilities, soft-decision decoding has been used to replace hard-decision decoding in various communication systems, and NAND flash memory systems are no exception. [1] The Min-Sum (MS) algorithm, known as one of the LDPC Soft-Decision decoding algorithms, is widely used with guaranteed performance. [2] The proposed design changes the scrambling operation, and replaces the hard decoding of BPSK modulation symbols with soft decision decoding. [3] Bit error rate performance evaluation of the implemented hard and soft decision decoding have been carried out by varying trellis depth and soft quantization bits. [4] In order to solve the read latency and the reliability degradation, caused by LDPC soft decision decoding and by the increase of flash storage density, respectively, a dynamic block grouping approach is proposed to divide all variable nodes (VNs) into three sub-blocks. [5] Specifically, we present simulation results where such soft decoding of RS codes outperforms the existing soft decision decoding algorithms of Koetter and Vardy as well as the algorithm of Das and Vardy on Gilbert-Elliott channels (under QAM and BPSK modulations) for channels that are more bursty. [6] Because SI very important at receiver, convolutional code with Viterbi-Soft Decision Decoding (V-SDD) is used to protect it against channel distortion. [7] The belief propagation (BP) algorithm is a commonly used soft decision decoding algorithm. [8] These results are verified by simulations, considering terminated convolutional codes with different coding rates, minimum mean-squared error linear equalization (MMSE-LE) and soft decision decoding. [9]

soft decision decoding algorithm

Specifically, we present simulation results where such soft decoding of RS codes outperforms the existing soft decision decoding algorithms of Koetter and Vardy as well as the algorithm of Das and Vardy on Gilbert-Elliott channels (under QAM and BPSK modulations) for channels that are more bursty. [1] The belief propagation (BP) algorithm is a commonly used soft decision decoding algorithm. [2]