Signal Computing: Digital Signals in the Software DomainThis open-source textbook, supported by National Science Foundation funding, covers the mathematical foundations for signal processing. Chapters 1 and 2 specifically explore topics addressed in this Digi Kit: 1) Physical signals in the real world, and 2) How these signals can be digitized, with consideration of tradeoffs in sampling speed, levels of quantization, and file size. Why we like it: Easy to read, up-to-date content support, problem sets with answer key, free-access. Authors: Michael Stiber, Bilin Zhang Stiber, Eric C. Larson.
Digital Signals: Sampling and QuantizationThis 6-page tutorial, written by music synthesis software developer Robin Schmidt, provides a straightforward introduction to digital sampling. It fully explains how to sample a sinosoid, how to reconstruct the sinusoid from its samples, and how to apply Shannon's Sampling Theorem. Most of the tutorial is appropriate for algebra-based high school physics, but teachers will want to reserve the section on Quantization Noise for AP physics. It could work well as a flipped lesson to go with the AAPT learning module "Analog-to-Digital".