Simulating random processes with desired spectral properties in digital models of data-processing and control systems

The technique proposed in the paper for reproduction of random processes with desired spectral properties such as the spectral density function and the correlation function uses orthogonal expansion in Fourier and Walsh bases. The computer implementations of the proposed algorithms are compared and analyzed.