operation on data converters, a figure of merit (FoM) is defined, which combines several performance metrics into a sin- gle value. For ADCs the construction of a fair FoM is non-trivial, not only because an ADC is rather a complex device with many attributes but also because the exact trade-off between the relevant metrics is often non-obvious. Most of the commonly used FoMs for ADCs share two basic attributes: (1) they are purposefully kept simple and mainly focus on power dissipation, conversion rate, and resolution and (2) they are constructed using first-order sta- tistics, limited tradeoffs and avoid empirically derived parameters as much as possible. More complex FoMs (considering area, supply voltage, process technology, etc.) have been proposed in the literature [22]; nevertheless, their empirical and data-driven nature makes them difficult to use. Ultimately, it is important to realize that an FoM is not meant to cap- ture every aspect of a specific data converter. A direct comparison between two converters New Radio Access RF and Transceiver Design Considerations should always be made using a table, where the FoM is just one of several entries. One of the widely used FoMs for quantifying the trade-off between ADC speed, resolution, and power dissipation is Walden FoM (FoM = P2-ENOB /fs). This FoM asserts that power P increases linearly with conversion rate fs. This is justified from first-order physics (power = energy/time) but it tends to fall apart as the sampling speed approaches the tech- nology limits. In terms of resolution, this FoM assumes that each added effective bit (ENOB) doubles the power dissipation. This trade-off was chosen empirically and tended to match experimental outcomes reasonably well for a number of years. In recent years, how- ever, it has been observed that moderate-to-high-resolution converters tend to follow a X power per effective bit trend, a trade-off that is consistent with noise-limited analog circuits. To capture the 4 X per bit trade-off, one can simply modify the de