
Consider a binary-input, M-output discrete memoryless channel (DMC) where the outputs are quantized to K levels, with K < M. The subject of this paper is the maximization of mutual information between the input and quantizer output, over both the input distribution and channel quantizer. This can be regarded as finding the capacity of a quantized DMC. An algorithm is given, which either finds the optimal input distribution and corresponding quantizer, or declares a failure.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
