计算机科学
转化(遗传学)
数据压缩
压缩(物理)
压缩比
数据转换
无损压缩
算法
测试压缩
数据压缩比
作者
Ming Hu,Jing Hu,Hongjian Wang,Zhongqiu Xu
出处
期刊:2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)
日期:2020-12-01
标识
DOI:10.1109/icmcce51767.2020.00023
摘要
This paper designs an implementation of a transformation-based test data compression design. We uses Cellular Automata (CA) was used as a random matrix to split and transform the test set. This method decomposes the original test set into the main component set and the residual set. The main component set is composed of the most suitable part selected from the matrix composed of Cellular Automata. The residual set is obtained by decompressing the data passed in by the tester. When implementing a test, the test set is obtained through the exclusive XOR of the principal component set and the residual set, and is finally applied to the circuit under test. This method encodes and compresses the residual set, and the generation of the principal component set requires a little hardware cost. Compared with encoding and compressing the test set directly, this method can significantly increase the compression rate of encoding and compression, and the hardware overhead is also acceptable.
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