3D spectral noise in Matlab with specified autocorrelation

Here is a function to generate a 3D matrix of 1/frequency noise Inputs are 1)rows, 2) cols (self explanatory I hope), 3) dep (the 3rd dimension - number of images in the stack) and 4) factor, which is the degree of autocorrelation in the result. The larger this value, the more autocorrelation an the bigger the 'blobs' in 3D Enjoy!