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1)  weighted pattern testing
加权测试生成
1.
This paper firstly analyses the methods of weighted pseudo random pattern generation and dual-speed LFSR,then proposes an improved DS-LFSR structure combined with weighted pattern testing.
在此基础上,把加权测试生成与改进型 DS-LFSR 在结构上结合起来。
2)  Weightded Testing
加权测试
3)  test generation
测试生成
1.
The research of multi - fault test generation for combinational logic circuits;
组合逻辑电路多故障测试生成算法的研究
2.
Binary decision diagram method for test generation of digital circuits;
数字电路测试生成的二元判定图方法
3.
Neural networks based test generation algorithm for combinational logic circuits;
基于神经网络的组合电路测试生成算法
4)  testing generation
测试生成
1.
A path delay fault testing generation algorithm for digital circuits based on neural network is proposed because the testing generation for path delay fault in digital circuits is more difficult.
针对数字电路路径时滞故障测试生成较难的问题,提出了基于神经网络的数字电路路径时滞故障测试生成算法。
2.
A path delay fault testing generation algorithm based on Boolean difference for digital circuits is proposed because the testing generation for path delay fault in digital circuits is more difficult.
针对数字电路路径时滞故障测试生成较难的问题提出了一种基于布尔差分的数字电路路径时滞故障测试生成算法。
3.
In order to obtain better failure coverage and testing set of digital circuit and reduce the reverse backtracking,many bionics algorithms are applied to testing generation of circuit.
数字集成电路的快速发展对电路测试提出了日益紧迫的要求,为获得较好的数字电路的故障覆盖率和测试集,减少反向回溯,很多仿生学算法应用到了电路的测试生成当中,现介绍了在测试生成领域中有重大影响的几种仿生优化算法以及各自特点。
5)  Test Pattern Generation
测试生成
1.
In order to solve the hard problem of testing for synchronous sequential circuits, improve the test generation efficiency of sequential circuits, this dissertation studies the algorithms of test pattern generation for sequential circuits.
为解决同步时序电路的测试难题,提高时序电路测试生成效率,本文进行了时序电路测试生成算法的研究。
6)  weighting accumulated generating operation
加权累加生成
1.
As the traditional GM(1,1) model does not reflect the importance of the new information,this paper presented the concept of weighting accumulated generating operation and made a research on its properties including monotonic property,grey exponent law and convexity.
针对这一问题提出了加权累加生成的概念,并对加权累加生成在单调性、灰指数规律、凸性等方面的性质进行了研究,得到加权累加生成序列具有单调递增性,具有较强的指数规律,并具有下凸性,然后建立了基于加权累加生成的GM(1,1)模型。
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