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Design of A/D converter using Support Vector
Machine
The design of A/D converters can be viewed as a classification
problem with the analog voltage as the feature vector and the
digital bit output as the class of the feature vector. Hence
generation of each bit can be done by evaluating the classification
function for the input vector. Support Vector Machines (SVM) is a
powerful method used in pattern recognition, feature extraction, and
function estimation. In A/D conversion we use SVM for 2-class
pattern recognition problem. This design works properly for 3 bit
A/D.
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