Highlights
1. Determine how to reset the random number generator.
2. Examine the syntax of rand and randn.
3. Explain ‘Ergodic’ and ‘Stationary’ bin your own words.
4. Similar to what you did in the Vector Operations section, create a matrix, s1a, of 6 Gaussian noise processes. Standard deviation of each process should be the row number, the mean of odd rows should be 3−row#, and the mean of even rows should be 5 − row#. Plot the ensemble average (black circles) in subplot 5. Plot the histogram with bin width 0.1. Automate this process in as few lines as possible.
5. Create and manipulate layers to create a color image based on the grayscale image. Feel free to be creative but the original image must still be recognisable. Use fewer than 10 lines of code. You may use inbuilt functions - examine the ones available through the Image Processing Toolbox.
6. Where you would be most likely to find a Gaussian noise process occurring? Why would it occur there?
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