Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/479607
Title: Comparative design of LDPC Encoder using maximal rate pipelining
Researcher: Anand Kumar, V
Guide(s): Nandanal,V
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
solid state electronics
error correcting codes
data transmission
University: Anna University
Completed Date: 2022
Abstract: The solid-state electronics are used to support information newlinetransfer, which utilize error correcting codes. Then practical system designs newlinefor error correcting codes, which is the topic of this thesis, can be discussed. newlineThe impact of the coding considers the viability of data transmission and the newlineproficiency of capacity terminals. Consequently, the decision of an newlineappropriate coding improves the data interchange at any rate not exactly the newlinechannel capacity. newlineLow density parity check (LDPC) codes are a kind of linear block newlineerror correction codes, likewise called Gallager codes. The primary issue of newlinedirect coding is in observing a code, which fulfils the necessary error newlinerectifying capacity. LDPC codes can be viewed as better compared to Turbo newlinecodes as fae as their exhibition when the block length is huge and furthermore newlinegreater flexibility, lower decoding complexity and high throughput which newlinehelp in high-speed decoding as contrasted to Turbo codes. A class of LDPC newlinecodes is characterized in the literature, in view of the elements of parity check newlinematrix and places a vital role in encoding. The parity check matrix can be newlinecharacterized, to fulfil specific properties in critical encoding the codeword newlineand better encoding executions. LDPC codes have different applications in newlinethe field of fiber optics, satellite communication and wireless communication, newlineMIMO OFDM and WiMAX transceiver. newlineOther than its benefits, LDPC codes over Turbo codes the key newlinedisadvantage are high encoding complexities and consequent encoding delay. newlineThe code is categorized by a sparse binary matrix called PCM (Parity Check newlineMatrix, H). The encoder of LDPC basically includes two fundamental tasks: newlinefirst task is to construct a spare H Parity Check matrix and second is the newlinegeneration of cordword for the given message vector. newline
Pagination: xviii,173p.
URI: http://hdl.handle.net/10603/479607
Appears in Departments:Faculty of Information and Communication Engineering

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02_prelim pages.pdf2.8 MBAdobe PDFView/Open
03_content.pdf188.41 kBAdobe PDFView/Open
04_abstract.pdf124.62 kBAdobe PDFView/Open
05_chapter 1.pdf972.03 kBAdobe PDFView/Open
06_chapter 2.pdf585.99 kBAdobe PDFView/Open
07_chapter 3.pdf889.14 kBAdobe PDFView/Open
08_chapter 4.pdf1.5 MBAdobe PDFView/Open
09_chapter 5.pdf1.11 MBAdobe PDFView/Open
10_annexures.pdf169.72 kBAdobe PDFView/Open
80_recommendation.pdf147.9 kBAdobe PDFView/Open
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