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多反馈带通滤波电路自噪声分析及仿真
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作者 彭阳明 陈文渊 《声学与电子工程》 2015年第2期37-40,共4页
为降低电路自噪声,研究了多反馈带通滤波电路,建立了电路自噪声模型,分析了各元器件对输出噪声的影响,给出了噪声功率频谱密度计算公式,通过Multisim噪声仿真及实测数据验证了模型的正确性。
关键词 多反馈带通滤波电路 自噪声模型 噪声计算 仿真分析
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Cellular Automata Model for a Specific Traffic Regime and 1/f Noise
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作者 Reuben Thieberger 《Computer Technology and Application》 2015年第1期30-36,共7页
We examine the traffic lights regime to enable the fastest overall approach to a city for a specific case. The case involves a traffic light where one continues on the main road, into which additional cars are enterin... We examine the traffic lights regime to enable the fastest overall approach to a city for a specific case. The case involves a traffic light where one continues on the main road, into which additional cars are entering at the light. At this intersection an alternative route begins, which is longer but into which no additional cars are entering. To keep the total number of vehicles constant, we subtract on the main road far from the intersection, the same number of cars as were added at the intersection. In addition to checking different densities we check also the influence of changes in the number of cars which were added. We calculate the Fourier transform of the average on each traffic light cycles of the velocity on the main road and bypass. We obtained different results for different cases. All the cases can be written as 1/fa . 展开更多
关键词 Elementary cellular automata TRAFFIC pink noise.
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Simple Adaptive Filtering Scheme to Improve Measurement Accuracy of Gyroscope on Angular Motion Base 被引量:1
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作者 张克志 田蔚风 +1 位作者 张淑雯 钱峰 《Journal of Shanghai Jiaotong university(Science)》 EI 2009年第6期732-735,共4页
The objective of this work is to improve the measurement accuracy of a gyroscope on a angular motion base with a simple adaptive filter scheme.Two main topics are highlighted in this work.The first topic is to show bu... The objective of this work is to improve the measurement accuracy of a gyroscope on a angular motion base with a simple adaptive filter scheme.Two main topics are highlighted in this work.The first topic is to show building a dual-process model employed for the conventional Kalman filter.The second topic is to show developing a modified noise adaptive algorithm when measurement noise and process noise are unknown.The experimental results are presented to show that the simple adaptive filtering scheme outperforms the other conventional scheme in this paper in terms of noise reduction. 展开更多
关键词 adaptive filter dual-process model GYROSCOPE
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