Sampling = Losing Data
•When you reduce continuous information (done via sampling) to a finite number of elements you LOSE DATA
–Fortunately, we deal well with lossy noise info (e.g., retinal readout example)
–You can watch TV, which is often horrible… eye integrates
–We see what we think we should see…  we minimize artifacts based on sampling error
–Sampling applet http://www.cs.brown.edu/exploratories/freeSoftware/repository/edu/brown/cs/exploratories/applets/sampling/introduction_to_sampling_guide.html
–Number of samples you may need to take for various purposes a well studied area. (We’ll be exploring this later)