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Nonuniform Quantized Decoder for Polar Codes with Minimum Distortion Quantizer

Information Theory 2020-11-17 v1 math.IT

Abstract

We propose a nonuniform quantized decoder for polar codes. The design metric of the quantizers is to minimize the distortion incurred by quantization. The quantizers are obtained via dynamic programming and the optimality of the quantizer is proved as well. Simulation results show that the error correction performance degradation of the proposed nonuniform quantized decoder is less than 0.1 dB compared to conventional float-point decoders under 5-bit nonuniform quantization, outperforming previous uniform quantized decoders for polar codes significantly.

Keywords

Cite

@article{arxiv.2011.07202,
  title  = {Nonuniform Quantized Decoder for Polar Codes with Minimum Distortion Quantizer},
  author = {Zhiwei Cao and Hongfei Zhu and Yuping Zhao and Dou Li},
  journal= {arXiv preprint arXiv:2011.07202},
  year   = {2020}
}
R2 v1 2026-06-23T20:12:29.673Z