Quasi-spatial properties of a communication channel temporal noise while using 2D hadamard transform

It is shown that image processing performed by computer embedded systems with the use of 2D Hadamard transform allows indexing of the elements of 1D additive communication channel noise and its representation in a form of localized 2D distribution of its variance. A higher degree of noise variance localization compared to systems with 1D transform can be obtained this way, provided the correlation between 1D noise elements is preserved.