Signal Processing, Mathematical Modeling and Final Remarks
The final three chapters provide an introductory overview of signal processing and mathematical modeling with final remarks about the future of biomedical engineering. I enjoyed chapter six’s discussion on signal discretization i.e. how continuous analog signals can be converted into discrete digital signals. For example, it’s possible to retain the integrity of an analog signal after discretization if the components of the sampled signal do not exceed the folding frequency. This may seem a little abstract although Valentinuzzi provides a simple graph and gives a real-life example of what it looks like when a signal’s frequency components are reconstructed beyond the folding frequency. A signal that is improperly converted is prone to distortion or aliasing −Valentinuzzi explains that in old western movies, you see aliasing when a wagon trying to get away from a bunch of bad guys appears to be moving backwards. This occurs because the “movie’s frame rate...