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This paper presents a distributed source coding scheme for two correlated image data using Log-MAP and SOVA decoders. Both decoderspsila peak signal to noise ratio (PSNR) performance has been studied in symmetric as well as asymmetric turbo codes environment. Turbo codes are promising for distributed source coding (DSC) because of their simple encoding implementation and impressive decoding performance...
Error control coding plays a vital role to maintain data accuracy across noisy channel. Turbo product code is a high performance error correcting code. It can be used in any communication system where a significant power saving is required or operating signal to noise ratio is very poor. This paper presents an implementation of a turbo product CODEC with Reed-Muller (16, 5, 8) as constituent codes...
The excellent performance exhibited by the turbo codes is attributed, partly to the use of soft-in soft-out algorithms (SISO) and iterating the soft output between the constituent signal processors in the turbo decoder. The maximum a posteriori probability (MAP) and soft output Viterbi algorithm (SOVA) have been used as the workhorse of receivers that employ turbo principle. The MAP is preferred to...
The maximum a posteriori (MAP) probability algorithm and the soft output Viterbi algorithm (SOVA), usually known as soft in soft out (SISO) algorithms are used for data detection in non minimum phase channels representative of an outdoor cellular wireless environment. The performance of combinations of MAP and SOVA based equalizer and decoder is evaluated by simulation experiment. The performance...
The soft output Viterbi algorithm (SOVA) is used for data detection in indoor wireless channels representative of the JTC and wireless local area network (WLAN). The performance of SOVA-SOVA permutation as an equalizer followed by a decoder is evaluated by simulation experiment. The performance does not improve much for more than three iterations in these ISI channels. The results obtained for 1 dB...
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