The universe is fundamentally analogue, but almost all modern technologies are based on digital systems on some level. In fact, many aspects of why digital systems work the way they do can be traced back to the conversion between analogue and digital signals – a process known as sampling. An understanding of sampling theory is thus crucial to understanding how modern systems work.

However, sampling is traditionally explained by resorting to complex mathematics, which tends to obscure the relatively simple underlying concepts. This presentation will draw back the mathematical veil obscuring these fundamental concepts by using simple arguments and graphics to explain how and why sampling works the way it does. As part of this process, issues such as aliasing, the Shannon-Nyquist criterion, bandpass sampling, I-Q sampling, interleaved samplers and others will be explored. It is thus hoped that attendees will gain greater insight into many aspects of sampling and how these issues affect the operation of modern systems.

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