scholarly journals Channel Coding of Weighted Probabilistic Model

2021 ◽  
Author(s):  
Jielin Wang
Keyword(s):  
Error Detection ◽  
Channel Coding ◽  
Probability Model ◽  
Binary Sequence ◽  
Ldpc Code ◽  
Correction Method ◽  
Coding Method ◽  
Error Detection And Correction ◽  
Lossless Coding ◽  
Weighted Probability

<p>In this paper a brand new channel error detection and correction method is provided. Artificially adding symbols to the source binary sequence makes the binary sequence present a regularity. The receiver can use this rule to implement error detection and correction. Since many redundant symbols are added, a weighted probability model lossless coding method is proposed in this paper to remove redundant information, and the reasons why Markov chains and conditional probabilities are not feasible are given. It is proven that the method in this paper can reach the channel capacity when the code length approaches infinity. It is shown experimentally that when the code rate is 1/2 in the BIAWGN channel, the method in this paper is superior to the polar code and LDPC code.</p>

scholarly journals Channel Coding of Weighted Probabilistic Model

2021 ◽  
Author(s):  
Jielin Wang
Keyword(s):  
Error Detection ◽  
Channel Coding ◽  
Probability Model ◽  
Binary Sequence ◽  
Ldpc Code ◽  
Correction Method ◽  
Coding Method ◽  
Error Detection And Correction ◽  
Lossless Coding ◽  
Weighted Probability

<p>In this paper a brand new channel error detection and correction method is provided. Artificially adding symbols to the source binary sequence makes the binary sequence present a regularity. The receiver can use this rule to implement error detection and correction. Since many redundant symbols are added, a weighted probability model lossless coding method is proposed in this paper to remove redundant information, and the reasons why Markov chains and conditional probabilities are not feasible are given. It is proven that the method in this paper can reach the channel capacity when the code length approaches infinity. It is shown experimentally that when the code rate is 1/2 in the BIAWGN channel, the method in this paper is superior to the polar code and LDPC code.</p>

Full Error Detection and Correction Method Applied on Pipelined Structure Using Two Approaches

2020 ◽  
Vol 29 (13) ◽  
pp. 2050218 ◽  
Author(s):  
Mehmed Dug ◽  
Stefan Weidling ◽  
Egor Sogomonyan ◽  
Dejan Jokic ◽  
Milos Krstic
Keyword(s):  
Error Detection ◽  
Soft Errors ◽  
Correction Method ◽  
Soft Error ◽  
Combinational Logic ◽  
Combinational Circuit ◽  
Multiple Faults ◽  
Error Detection And Correction ◽  
Detection Circuit ◽  
The One

In this paper, two approaches are evaluated using the Full Error Detection and Correction (FEDC) method for a pipelined structure. The approaches are referred to as Full Duplication with Comparison (FDC) and Concurrent Checking with Parity Prediction (CCPP). Aforementioned approaches are focused on the borderline cases of FEDC method which implement Error Detection Circuit (EDC) in two manners for the purpose of protection of combinational logic to address the soft errors of unspecified duration. The FDC approach implements a full duplication of the combinational circuit, as the most complex and expensive implementation of the FEDC method, and the CCPP approach implements only the parity prediction bit, being the simplest and cheapest technique, for soft error detection. Both approaches are capable of detecting soft errors in the combinational logic, with single faults being injected into the design. On the one hand, the FDC approach managed to detect and correct all injected faults while the CCPP approach could not detect multiple faults created at the output of combinational circuit. On the other hand, the FDC approach leads to higher power consumption and area increase compared to the CCPP approach.

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