Improved error table compensation of A/D convertors using pseudorandom calibration signals

Abstract

A previously published technique using sinusoidal calibration signals to generate error tables for linearizing A/D convertors suffers from limited compensation performance due to incomplete error table coverage. The authors show that better coverage and improved compensation may be achieved by using pseudorandom calibration signals. The techniques is illustrated by using state-space error tables to reduce the nonlinear distortion of an A/ D convertor sampler model representing input dependent timing jitter

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