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- W2109479530 abstract "The key implementation issue for most of the powerful error correcting codes is overall decoding complexity. Compared with 8-state turbo codes, proposed code can achieve nearly the same performance with significantly reduced decoding complexity. The proposed code is modified turbo code which uses parallel concatenation of component codes. First few component codes are series combination of zigzag codes and convolutional codes. Since multiple codes are used in component codes, proposed code is a hybrid code. Code rate of the low complexity hybrid turbo code (LCHTC) can be adjusted by changing the array size of zigzag codes and by puncturing the parity bits of convolutional code. Performance analysis of LCHTC shows that optimum number of constituent codes and of convolutional codes leads to BER of 10 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-5</sup> at signal to noise ratio (SNR) of 1.6dB." @default.
- W2109479530 created "2016-06-24" @default.
- W2109479530 creator A5056076371 @default.
- W2109479530 date "2008-03-01" @default.
- W2109479530 modified "2023-10-16" @default.
- W2109479530 title "Low Complexity Hybrid Turbo Codes" @default.
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- W2109479530 doi "https://doi.org/10.1109/wcnc.2008.190" @default.
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