Digital gaussian noise simulator

摘要

A Gaussian noise is simulated by discrete analogue ri,j. A first parameter alpha and pluralities of first and second integers i and j are selected. A plurality of points i,j are identified and a magnitude si,j is calculated for each point based on alpha, i and j. The discrete analogue ri,j is based on a respective si,j. Examples are given of 1 $\mathrm{alpha}=\frac{2^B-A}{2^B}$ and D>i>=0 and 2>j>=0, where B>=0, 2>A>0, C>=1 and D>=1, and magnitude 2 $s_{i,j}=1-{\mathrm{alpha}}^i+{\mathrm{alpha}}^i·\frac{1-\mathrm{alpha}}{2^C}·j\mathrm{or}{s}_{D-1,j}=1-{\mathrm{alpha}}^{D-1}+{\mathrm{alpha}}^{D-1}·\frac{1}{2^C}·j.$ In some embodiments, a segment is defined based on alpha and i. The segment is divided into points based on respective values of j, and the magnitude is calculated for each point of the segment. The defining and dividing segments and calculating the magnitude is iteratively repeated for each value of i.