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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 199.51 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.8 MB | Adobe PDF | View/Open | |
03_content.pdf | 188.41 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 124.62 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 972.03 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 585.99 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 889.14 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.5 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.11 MB | Adobe PDF | View/Open | |
10_annexures.pdf | 169.72 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 147.9 kB | Adobe PDF | View/Open |
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