Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/5519
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dc.contributor.authorShah, Dhaval G.-
dc.contributor.authorPadia, Yesha-
dc.contributor.authorJadawala, Himanshi-
dc.date.accessioned2015-07-11T07:05:44Z-
dc.date.available2015-07-11T07:05:44Z-
dc.date.issued2015-
dc.identifier.citation2nd International Conference on Signal Processing and Integrated Networks (SPIN), 2015, Page No. 280 - 284en_US
dc.identifier.urihttp://hdl.handle.net/123456789/5519-
dc.description.abstractProduct code is a promising technique for low as well as high SNR applications due to its superior error correction performance. Indoor video broadcasting is an application where distance between transmitter and receiver is less, hence the received SNR is high. For such an application and similar applications tolerant to high BER, in this paper, we propose a Low Density Parity Check-Reed Solomon (LDPC-RS) product code structure using Bit Flipping algorithm for decoding of LDPC code. For LDPC decoding, bit flipping is preferred over log SPA (Sum Product Algorithm) as it offers lesser hardware and computational complexity. Simulation results for our product code show great error performance in high SNR regions.en_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesITFEC019-8;-
dc.subjectBit Flipping Algorithmen_US
dc.subjectHard Decision Decodingen_US
dc.subjectLDPCen_US
dc.subjectLog-SPA Decodingen_US
dc.subjectProduct Codesen_US
dc.subjectRSen_US
dc.subjectSoft Decision Decodingen_US
dc.subjectEC Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFEC019en_US
dc.titleRS-LDPC Product Code for High SNR Applicationsen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, EC

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