Skip to Main Content
This paper concisely presents several common used techniques for measuring the dynamic performance of analog-to-digital conversion. Details about very critical tasks concerning spectral analysis are focused, showing examples to better justify the use of such techniques. It is shown how important is to precisely define the input frequency used for spectral analysis to enhance precision of results. This paper also proposes that the use of window deconvolution eases computation of the harmonics for performance analysis as compared with other commonly used techniques. The most relevant metrics applied for measuring performance are reviewed and demonstrated as a self-contained study. Simulation results are confronted with a commercial analog-to-digital converter.