A relevance vector machine (RVM) based fault diagnosis method was presented for non-linear circuits. In order to simplify RVM classifier, parameters selection based on particle swarm optimization (PSO) and preprocessi...A relevance vector machine (RVM) based fault diagnosis method was presented for non-linear circuits. In order to simplify RVM classifier, parameters selection based on particle swarm optimization (PSO) and preprocessing technique based on the kurtosis and entropy of signals were used. Firstly, sinusoidal inputs with different frequencies were applied to the circuit under test (CUT). Then, the resulting frequency responses were sampled to generate features. The frequency response was sampled to compute its kurtosis and entropy, which can show the information capacity of signal. By analyzing the output signals, the proposed method can detect and identify faulty components in circuits. The results indicate that the fault classes can be classified correctly for at least 99% of the test data in example circuit. And the proposed method can diagnose hard and soft faults.展开更多
低延迟分组密码的设计是目前密码学研究中的热点之一,其中低延迟S盒的构造是设计中的重要研究方向.本文基于低延迟门电路和两层树型结构,搜索不同延迟水平下具有一定密码学性质的低延迟平衡布尔函数及其拓展比特置换等价类;基于将低延...低延迟分组密码的设计是目前密码学研究中的热点之一,其中低延迟S盒的构造是设计中的重要研究方向.本文基于低延迟门电路和两层树型结构,搜索不同延迟水平下具有一定密码学性质的低延迟平衡布尔函数及其拓展比特置换等价类;基于将低延迟布尔函数作为分量布尔函数构造向量布尔函数的方法,本文构造得到了不同延迟水平下的低延迟S盒,并给出延迟性质和硬件实现面积具有优势的S盒实例;此外,本文对低延迟的S盒集合与逆S盒集合匹配搜索具有双向低延迟性质的S盒,给出搜索得到的实例.与PRINCE、MANTIS等其他低延迟分组密码中使用的4 bit S盒相比,本文构造的低延迟S盒在延迟水平上相较MANTIS降低了20%,与PRINCE相比降低了33%,在硬件实现面积上相较MANTIS减少了6.68%,与PRINCE相比减少了17.69%.展开更多
基于0.25μm Ga N HEMT工艺,研制了一款S波段Ga N功率放大器单片微波集成电路（MMIC）。该电路采用三级拓扑放大结构,提高了放大器的增益;采用电抗匹配方式,减小了电路输出级的损耗,提高了MMIC的功率和效率。输出级有源器件的布局优化,...基于0.25μm Ga N HEMT工艺,研制了一款S波段Ga N功率放大器单片微波集成电路（MMIC）。该电路采用三级拓扑放大结构,提高了放大器的增益;采用电抗匹配方式,减小了电路输出级的损耗,提高了MMIC的功率和效率。输出级有源器件的布局优化,改善了放大器芯片的温度分布特性。测试结果表明,在2.8~3.6 GHz测试频带内,在脉冲偏压28 V（脉宽100μs,占空比10%）时,峰值输出功率大于60W,功率附加效率大于45%,小信号增益大于34 d B,增益平坦度在±0.3 d B以内,输入电压驻波比在1.7以下;在稳态偏压28 V时,连续波饱和输出功率大于40 W,功率附加效率38%以上。该MMIC尺寸为4.2 mm×4.0 mm。展开更多
基金Project(Z132012)supported by the Second Five Technology-based in Science and Industry Bureau of ChinaProject(YWF1103Q062)supported by the Fundemental Research Funds for the Central Universities in China
文摘A relevance vector machine (RVM) based fault diagnosis method was presented for non-linear circuits. In order to simplify RVM classifier, parameters selection based on particle swarm optimization (PSO) and preprocessing technique based on the kurtosis and entropy of signals were used. Firstly, sinusoidal inputs with different frequencies were applied to the circuit under test (CUT). Then, the resulting frequency responses were sampled to generate features. The frequency response was sampled to compute its kurtosis and entropy, which can show the information capacity of signal. By analyzing the output signals, the proposed method can detect and identify faulty components in circuits. The results indicate that the fault classes can be classified correctly for at least 99% of the test data in example circuit. And the proposed method can diagnose hard and soft faults.
文摘低延迟分组密码的设计是目前密码学研究中的热点之一,其中低延迟S盒的构造是设计中的重要研究方向.本文基于低延迟门电路和两层树型结构,搜索不同延迟水平下具有一定密码学性质的低延迟平衡布尔函数及其拓展比特置换等价类;基于将低延迟布尔函数作为分量布尔函数构造向量布尔函数的方法,本文构造得到了不同延迟水平下的低延迟S盒,并给出延迟性质和硬件实现面积具有优势的S盒实例;此外,本文对低延迟的S盒集合与逆S盒集合匹配搜索具有双向低延迟性质的S盒,给出搜索得到的实例.与PRINCE、MANTIS等其他低延迟分组密码中使用的4 bit S盒相比,本文构造的低延迟S盒在延迟水平上相较MANTIS降低了20%,与PRINCE相比降低了33%,在硬件实现面积上相较MANTIS减少了6.68%,与PRINCE相比减少了17.69%.
文摘基于0.25μm Ga N HEMT工艺,研制了一款S波段Ga N功率放大器单片微波集成电路（MMIC）。该电路采用三级拓扑放大结构,提高了放大器的增益;采用电抗匹配方式,减小了电路输出级的损耗,提高了MMIC的功率和效率。输出级有源器件的布局优化,改善了放大器芯片的温度分布特性。测试结果表明,在2.8~3.6 GHz测试频带内,在脉冲偏压28 V（脉宽100μs,占空比10%）时,峰值输出功率大于60W,功率附加效率大于45%,小信号增益大于34 d B,增益平坦度在±0.3 d B以内,输入电压驻波比在1.7以下;在稳态偏压28 V时,连续波饱和输出功率大于40 W,功率附加效率38%以上。该MMIC尺寸为4.2 mm×4.0 mm。
