Organizing Gray code states for maximum error tolerance
(EN)
Harkiolakis, N
(EN)
Ekonomou, L
(EN)
An alternative to Gray codes is presented where the error between two codes is proportionally analogous to the distance of their positions. The new coding scheme (Selected coding) uses a certain subset of Gray codes of higher length that the ones that would normally being used to carry a given signal. This makes efficient coding for cyclic values that represent rotational variables. This makes it ideal for representing cyclic patterns in neural networks and genetic algorithms. Case studies are used to present the coding scheme and its error handling efficiency.
(EN)
