Dithered probabilistic shaping

  title={Dithered probabilistic shaping},
  author={N. Palgy and Ram Zamir},
  journal={2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel},
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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