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We observe that shadow map algorithms often suffice to determine shadowing for most areas of a rendered image.
HLS tools actually map algorithms to architectures.
The output of the decoder is fed back to the MAP algorithms for performance improvement.
As one observes, the proposed detector iterates between the MAP algorithms and the SISO decoders.
When considering bull's eye plots, all of the tested MAP algorithms produced comparable results.
We showed that the optimal detector was implemented by parallel concatenating MAP algorithms and demappers to the decoders.
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Let us note that although we adopted the strategy of the Max-Log-MAP algorithm, the changes needed to adapt MAP and Log-MAP algorithms to the MNB case are similar to the one shown.
The MAP algorithm is discussed next.
The image is reconstructed with MAP algorithm and attenuation corrected.
The library SimpPers [163] implements the simplicial map algorithm.
The expression data was clustered using the self-organizing map algorithm as follows.
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