A short video of a white circle on a black backround observed in increasing noise has been loaded into MATLAB Grader for you, in the $3-$dimensional matrix, NoisyCircle. The three dimensions of the NoisyCircle matrix are: $[$rows$,$ columns, image frames$].$

Find the number of rows in each image frame of NoisyCircle, using the function size. Assign this value to the variable nRows.

Find the number of columns in each image frame of NoisyCircle, using the function size. Assign this value to the variable nCols. Hint: This has been completed for you.

Find the number of image frames in NoisyCircle, using the function size. Assign this value to the variable N$.$

Use a for loop to display the NoisyCircle movie, where each iteration of the loop, the next image frame is displayed using imagesc.

Find the mean intensity value of the first image frame of NoisyCircle, and store this value as the first element of a vector variable called meanVal.

Write a while loop to determine the frame number, n$,$ when the mean of the image frame is greater than $3.$ Note: you will need to use array indexing to store the values of meanVal as the mean value is being evaluated at every iteration of the while loop to avoid the values from being overwritten.