Digitalized simulation method of any three-dimensional (3D) rough surface
A rough surface, analog method technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of no longer satisfying the necessary conditions for non-Gaussian transformation, generating non-Gaussian sequences, errors, etc.
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[0071] The digital simulation of 3D Gaussian or non-Gaussian rough surfaces to satisfy certain statistical characteristics of autocorrelation function, mean value, standard deviation, skewness and kurtosis is taken as an example, and the digital simulation method of any 3D rough surface of the present invention will be described.
[0072] 1. Digital simulation of Gaussian rough surface:
[0073] 1) Use the given autocorrelation function to generate the correlation function discrete matrix R(m, n)
[0074] a) Assume that the autocorrelation function is f(x, y) (σ is the standard deviation of the Gaussian sequence, β x , Β y Are the autocorrelation lengths in the X and Y directions respectively);
[0075] f ( x , y ) = σ 2 exp ( - 2.3 ( x β x ) 2 + ( y β y ) 2 )
[0076] b) Specify the discrete spacing in X and Y directions to be 1μm, and discretize the autocorrelation function in the region of -m / 2≤x≤m / 2 ...
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