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Test Data Compression Based on Variable-to-Variable Huffman Encoding With Codeword Reusability

机译:具有变码霍夫曼编码和码字可重用性的测试数据压缩

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摘要

A new statistical test data compression method that is suitable for IP cores of an unknown structure with multiple scan chains is proposed in this paper. Huffman, which is a well-known fixed-to-variable code, is used in this paper as a variable-to-variable code. The precomputed test set of a core is partitioned into variable-length blocks, which are, then, compressed by an efficient Huffman-based encoding procedure with a limited number of codewords. To increase the compression ratio, the same codeword can be reused for encoding compatible blocks of different sizes. Further compression improvements can be achieved by using two very simple test set transformations. A simple and low-overhead decompression architecture is also proposed.
机译:提出了一种适用于具有多个扫描链的未知结构的IP核的统计测试数据压缩新方法。霍夫曼(Huffman)是一种众所周知的固定变数代码,在本文中被用作可变变数代码。内核的预先计算的测试集被划分为可变长度的块,然后通过有效的基于Huffman的编码过程对有限长度的代码字进行压缩。为了增加压缩率,可以将相同的码字重新用于编码不同大小的兼容块。通过使用两个非常简单的测试集转换,可以实现进一步的压缩改进。还提出了一种简单且低开销的减压架构。

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