ID 原文 译文
2913 该方案将电阻热噪声放大后作为 VCO 的控制信号使其振荡频率在中心频率附近随机抖动。 The scheme amplified the thermal noise of resistance and took it as thecontrol signal of VCO. Its oscillation frequency thus randomly jittered around the centre frequency.
2914 VCO 所产生的慢振荡信号对周期固定的快振荡信号采样生成原始随机序列,然后利用后处理电路提高序列均匀性并消除自相关性。 The slow oscillatingsignal generated by the VCO generated an raw random sequence by sampling the period-fixed fast oscillating signal, then used the post-processing circuit to improve the uniformity of sequence and to eliminate the auto correlation.
2915 通过热噪声发生器调节 VCO 的中心频率可实现序列比特率和随机性之间的权衡。 Applying the thermal noise generator to adjust the centre frequency of VCO is able to trade off the bit rate of sequence and the random-ness.
2916 所提电路采用 SMIC 55nm CMOS 工艺设计,芯片面积 0.0124mm2,比特率 10Mbps,平均功率 0.81mW。 The proposed circuit is designed in SMIC 55nm CMOS technology with a chip area of 0. 0124mm2, a bit rate of10Mbps and an average power of 0. 81mW.
2917 输出的随机序列通过 NIST SP 800-22 测试。 The output of randomly sequence passed the NIST SP 800-22 randomnesstest.
2918 本文基于直觉模糊集,研究了直觉模糊推理(1,2,2)- a 型泛三 I 算法,给出了 IFMP、IFMT 问题的直觉模糊推理(1,2,2)- a 型泛三 I 算法解的表达形式和分解形式。 The intuitionistic fuzzy inference(1, 2, 2)- a type universal triple I methods based on intuitionistic fuzzyset are discussed, the expression form and decomposition form of solutions of intuitionistic fuzzy inference(1, 2, 2)- a type universal triple methods based on IFMP and IFMT problems are given.
2919 其次,利用直觉模糊集间的自然距离定义了直觉模糊连接词和直觉模糊集的灵敏度,给出了直觉 ukasiewicz 蕴涵、直觉 Gdel 蕴涵以及它们各自对应三角模的灵敏度, Then, based on the natural distances between intu-itionistic fuzzy sets, the sensitivity of intuitionistic fuzzy connectives and intuitionistic fuzzy sets are defined, the sensitivity of intuitionistic ukasiewicz implication, intuitionistic Gdel implication and their corresponding triangular norm are provid-ed.
2920 在此基础上,证明了直觉 ukasiewicz 蕴涵是直觉模糊集上最鲁棒剩余型蕴涵算子。 On this basis, it is proved that intuitionistic ukasiewicz implication is the most robust residual implication on intuitionis-tic fuzzy sets.
2921 最后,讨论了直觉模糊推理(1,2,2)- a 型泛三 I 算法的鲁棒性,并且针对以上两种具体蕴涵算子,相应地获得了直觉模糊推理(1,2,2)- a 型泛三 I 算法解的灵敏度。 Finally, robustness of intuitionistic fuzzy inference(1, 2, 2)- a type universal triple I methods are investiga-ted, corresponding sensitivity of solutions of intuitionistic fuzzy inference type universal triple methods are obtained for twokinds of specific implications.
2922 结论表明,直觉模糊推理算法的鲁棒性完全取决所选择的直觉模糊连接词。 These results indicated that the robustness of intuitionistic fuzzy inference methods directly de-pended on the selection of intuitionistic fuzzy connectives.