1. Create the random noise using the following command that ensures v has the same size as x:
a. v=randn(size(x))

2. Using a solid line style, plot the first 1000 points of v vs. time and notice the erratic time characteristics of the noise.

3. Compute the DFT of the first 4096 points of the noise and plot the noise's DFT magnitude in dB vs. frequency. Notice that the noise DFT magnitude is "flat" (well, it is quite ragged, but the top of the plot is flat), which is why this kind of noise is called "white" noise - it consists of equal amounts of all frequencies just like white light consists of equal amounts of all colors.