Dithered probabilistic shaping

@article{Palgy2012DitheredPS,
  title={Dithered probabilistic shaping},
  author={N. Palgy and Ram Zamir},
  journal={2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel},
  year={2012},
  pages={1-5}
}
Shaping is a practical method to approximate the optimal Gaussian input distribution for a power-constrained AWGN channel. The Shaping Gain is the reduction in average constellation energy, compared to a uniform (equi-probable) cubical constellation. The maximal Shaping Gain at high SNR is 1.53dB, which can be achieved by a constellation shape of a high dimensional ball with a uniform distribution. By freeing ourselves from the idea of equally probable symbols, we can reach the full shaping… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-6 of 6 references

Dithered Probabilistic Shaping and MAP decoder improvement

  • N. Palgy
  • Project Report, Tel Aviv University, Dep. of EE…
  • 2012
1 Excerpt

Huffman Shaping”, chap. 17 from ”Codes

  • G. Ungerboeck
  • Graphs and Systems”,
  • 2002
1 Excerpt

Trellis Shaping

  • G. D. Forney, Jr.
  • IEEE Trans. Inform. Theory,
  • 1992
1 Excerpt

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