By Gabriele Manganaro
Have to wake up to hurry speedy at the most up-to-date advances in excessive functionality information converters? wish aid making a choice on the easiest structure in your program? With every little thing you must learn about the major new converter architectures, this advisor is for you. It offers easy rules, circuit and procedure layout strategies and linked trade-offs, getting rid of long mathematical proofs and offering intuitive descriptions prematurely. every little thing from time-to-digital converters to comparator-based/zero-crossing ADCs is roofed and every subject is brought with a brief precis of the fundamental fundamentals. sensible examples describing real chips, in addition to broad comparability among architectural or circuit ideas, ease structure choice and assist you minimize layout time and engineering threat. Trade-offs, merits and drawbacks of every alternative are positioned into point of view with a dialogue of destiny tendencies, exhibiting the place this box is heading, what's using it and what an important unanswered questions are
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Extra resources for Advanced Data Converters
2 are only some of the most commonly used among a considerably larger universe of performance parameters. These metrics aim to characterize actual physical parameters, or their ratios, in order to specify, design, and verify converters for targeted applications. On the other hand, provided that a converter meets the desired specifications on the basis of the above-cited performance metrics, it is worthwhile wondering how well that one specific design is optimal with respect to some other engineering parameter, which may be power efficiency, available signal bandwidth etc.
1 some of the performance metrics used in data conversion have been discussed. Although resolution and sampling rate are, without doubt, the two key parameters stated when quoting the specifications of a data converter, they are often insufficient to assess whether or not a converter will meet the needs of an application. Other metrics have been briefly and informally summarized. 9 This could be a known closed-form model of the nonlinearity, a polynomial expansion, or a look-up table; there is a wealth of theory of “modeling and parameter estimation” behind this [102, 103, 104].
E. the output will go up and down with increasing code instead of monotonically increasing as in the ideal case on the right-hand side of Fig. 2). Hence, since for DACs we measure the step sizes on the vertical axis, when there is a non-monotonicity problem then a DNL < −1 is actually possible. Furthermore, again both for ADCs and for DACs, step-size errors also lead the transfer characteristic to move away from the ideal straight line. The net deviation of the actual characteristic from such an ideal straight line is quantified by the INL.