2017 3rd IEEE International Conference on Computer and Communications (ICCC) 2017
DOI: 10.1109/compcomm.2017.8322971
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A simplified Gaussian approximation algorithm for polar codes

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Cited by 6 publications
(28 citation statements)
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“…The results show that the proposed PGA design outperforms the standard GA for several examples of polar codes and rates. Frame Error Rate N=1024 -Fang [11] N=1024 -Dai [12] N=1024 -Ochiai [13] N=1024 -GA N=1024 -PGA N=2048 -Fang [11] N=2048 -Dai [12] N=2048 -Ochiai [13] N=2048 -GA N=2048 -PGA Fig. 9.…”
Section: Discussionmentioning
confidence: 99%
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“…The results show that the proposed PGA design outperforms the standard GA for several examples of polar codes and rates. Frame Error Rate N=1024 -Fang [11] N=1024 -Dai [12] N=1024 -Ochiai [13] N=1024 -GA N=1024 -PGA N=2048 -Fang [11] N=2048 -Dai [12] N=2048 -Ochiai [13] N=2048 -GA N=2048 -PGA Fig. 9.…”
Section: Discussionmentioning
confidence: 99%
“…9 we compare the proposed PGA, GA and the methods for long blocks proposed by Fang [11], Dai [12] and Ochiai [13]. The results show that the methods for long blocks proposed by Fang [11], Dai [12] and Ochiai [13] have the same FER performance as GA.…”
Section: Simulationsmentioning
confidence: 94%
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“…Furthermore, both require inverse, transcendental functions and are composed of complex recursive functions. Improved approximations with better performance than AGA [6] were proposed in [17], [18] and [19]. The work of Fang [17] analyzed the first and second derivatives of EGA and developed a simplified multi-segment polynomial approximation without using transcendental functions and without the need to calculate an inverse function.…”
mentioning
confidence: 99%