Test data compression using dictionaries with selective entries and fixed-length indices
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This paper presents a test input data compression technique, which can be use to reduce input test data volume, test time, and the number of required tester channels. The technique is based on grouping data packets and applying various binary encoding techniques, such as Huffman codes and Golomb-Rice codes. Experiments on actual industrial designs and benchmark circuits show an input vector data reduction ranging from 17x to 70x.