An analytical model is introduced for the study of interpolationnwaveforms in time-averaging interpolative digital-to-analogue convertersn(DACs). This analytical model reveals some important phenomena relatednto the interpolation process, and it can be used to determine theneffects of varying individual interpolation waveforms on the overallnperformance of DACs. This allows strategies to be developed fornminimising interpolation noise. The model can also be used to enhancenthe performance of many interpolation schemes. Examples of somenminimisation strategies are presented, including practical results
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