This lesson introduces you to the concept of oversampling – using a significantly higher sampling rate than required by the sampling theorem. Oversampling is motivated by the cost and difficulty of building high-performance analog anti-aliasing and anti-imaging filters. You will also learn how downsampling and upsampling are incorporated into a signal processing system to minimize the computational and storage consequences of oversampling.
Oversampling is a very common and important technique in practical signal-processing systems.
