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Thank you for this Lecture, it is very well explained and usefull for my master thesis!
Thanks a lot to the creator. Especially for the BAC, Kurtosis and Skewness part..Need this in my research..
Great presentation of AFM data interpretation
Have you ever considered to model the 1D roughness by SPD (spectral power density), Palaszantas model such that it can be characterized by thethree parameters: roughness-sigma, correlation length xi, roughness exponent alpha.
is there a programm for computer where i can put an image in and it measures the roughness of it? for art analysis for example
Clearly explained! thank you
The video sound is pretty good, beyond my imagination
Find Ra/Rq for a Gaussian distribution with zero mean.
Some segments in the video are stamped not adjacent to each other
Thank you for this Lecture, it is very well explained and usefull for my master thesis!
Thanks a lot to the creator. Especially for the BAC, Kurtosis and Skewness part..Need this in my research..
Great presentation of AFM data interpretation
Have you ever considered to model the 1D roughness by SPD (spectral power density), Palaszantas model such that it can be characterized by the
three parameters: roughness-sigma, correlation length xi, roughness exponent alpha.
is there a programm for computer where i can put an image in and it measures the roughness of it? for art analysis for example
Clearly explained! thank you
The video sound is pretty good, beyond my imagination
Find Ra/Rq for a Gaussian distribution with zero mean.
Some segments in the video are stamped not adjacent to each other
The video sound is pretty good, beyond my imagination