Complexity Reduction of Reliability Based Decoding of Linear Block Codes

Simple item page
dc.contributor.authorAdhikari, Sulav
dc.date.accessioned2022-03-16T07:49:28Z
dc.date.available2022-03-16T07:49:28Z
dc.date.issued2016-02
dc.descriptionThe Reliability Based Algorithm for linear block codes is investigated. The decoding complexity is increased when the length of information bits of linear block codes is increased.en_US
dc.description.abstractThe Reliability Based Algorithm for linear block codes is investigated. The decoding complexity is increased when the length of information bits of linear block codes is increased. A Simplified statistical approach to evaluate the error performance bound of Reliability Based Algorithm of Linear Block Codes is investigated. First, one novel statistic is proposed which depicts the number of error contain in the ordered received noisy codewords. Also, another new statistic is proposed which compare the hamming distance between the permuted received word and the reprocessing codeword only on the parity check section. Then, the Probability Density Function (PDF) and the Cumulative Distribution Function (CDF) for each statistics are derived. Also, the new Probabilistic Threshold Test in combination with basic order-I reprocessing is proposed which compare the decision statistic evaluated only on the parity check section for all reprocessing codeword corresponding to TEP of any permissible order. Finally, with proposed approach, reduction of the number of Test Error Patterns (TEPs) is obtained to calculate the required codeword which reduces the decoding complexity.en_US
dc.identifier.citationMASTER OF SCIENCE IN INFORMATION AND COMMUNICATION ENGINEERINGen_US
dc.identifier.urihttps://elibrary.tucl.edu.np/handle/20.500.14540/9118
dc.language.isoenen_US
dc.publisherPulchowk Campusen_US
dc.subjectReliability Based Algorithmen_US
dc.subjectProbabilistic Thresholden_US
dc.subjectLinear Block codesen_US
dc.titleComplexity Reduction of Reliability Based Decoding of Linear Block Codesen_US
dc.typeThesisen_US
local.academic.levelMastersen_US
local.affiliatedinstitute.titlePulchowk Campusen_US
local.institute.titleInstitute of Engineeringen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Sulav Adhikari .pdf
Size:
957.28 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Electronics and Computer Engineering