Research on Test Data Compression Method Based on Transformation

Ming Hu, Jing Hu, Hongjian Wang, Zhongqiu Xu
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Abstract

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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基于变换的试验数据压缩方法研究
本文设计了一个基于转换的测试数据压缩设计的实现。我们使用元胞自动机(CA)作为随机矩阵对测试集进行分割和变换。该方法将原始测试集分解为主成分集和残差集。主分量集由元胞自动机组成的矩阵中选取最合适的部分组成。残差集是通过对测试仪传入的数据进行解压缩得到的。在进行测试时,通过主成分集与残差集的异或得到测试集,并最终应用于被测电路。该方法对残差集进行编码和压缩,主成分集的生成需要较少的硬件开销。与直接对测试集进行编码和压缩相比,该方法可以显著提高编码和压缩的压缩率,并且硬件开销也是可以接受的。
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