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Figure 2 shows the PLR performance for three codes with different minimum distances and different rates.
A numerical approach is considered to indicate which difference vectors provide the minimum distances, and by equalizing these distances, it is possible to obtain the optimized precoding matrix.
Alternatively, one may also interpret it as: ideal LDPC codes have large minimum distances and are capable of correcting short error events including those caused by the segmentation effect.
Here, by enumerating symbols on layer 1, the minimum distances and associated symbols on layers 2 to 4 can be searched for in parallel through slicing only on the corresponding layers, similar to the two-layer system.
Unlike with block codes, large minimum distances and low error probabilities are achieved not by increasing k and n but by increasing the memory order m [16, Chapter 11].
Registration accuracy was quantified by the maximal of the mean minimum distances and by the Hausdorff distance.
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In addition, a good matching is determined by the ratio between the minimum distance and the second minimum distance.
A linear code of length, dimension, minimum distance and covering radius is said to be.
As illustrated above, sectors are required to meet constraints such as convexity, connectivity, minimum distance, and minimum sector crossing time.
I Concepts related to minimum distance and relatives, as well as main coding distances are also discussed in the chapter.
It also generates traditional codes' concepts of the minimum distance and MDS (maximum distance separable) to NEC.
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