Application of multidimensional estimation algorithms in cyclic A/D converters

Statistics – Applications

Scientific paper

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Scientific paper

The paper presents a new approach to reduction of influence of disturbances on performance of cyclic analog-to-digital converters (ADC). The approach is based on application of multidimensional estimation algorithms for simultaneous estimation of both input sample value and parameters of disturbances. Implementation of these algorithms is possible in a new class of adaptive cyclic ADCs whose digital parts permit to calculate iteratively output codes in form of binary words using simple mathematical operations. Estimation of parameters of disturbances enables their compensation and elimination of their influence on the conversion performance. Results of selected simulation experiments related to analysis of the efficiency of the proposed method in reduction of disturbances influence on final performance of adaptive cyclic ADCs are also presented and discussed in the paper.

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