根据对时钟同步装置守时误差的分析，提出了一种通过降低测量误差进一步提高守时精度的同步时钟装置设计方案。该方案利用时钟内插方法降低全球定位系统(GPS)秒脉冲周期测量误差，对秒脉冲均值进行余数补偿消除均值计算中的引入误差，从而提高同步时钟装置的守时精度。根据所提方案设计了基于AMBA APB总线的通用高精度同步时钟知识产权(IP)核，并利用ARM Cortex-M0内核在现场可编程门阵列(FPGA)中构建了具有高精度同步时钟IP的片上系统(SoC)进行测试验证。测试结果表明，基于所提方案设计的通用高精度同步时钟IP核所生成的同步时钟精度在20 ns以内，守时误差在每小时300 ns以内。

最新版视高4.3注册机 qq190749334

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充分利用这些模拟来了解从ABC到ALPHA-BETA到DQ转换，以及从ABC到DQ转换。 希望对您有帮助。 如果需要了解任何问题，请通过（nest2020engg@gmail.com）gmail与我联系。 谢谢....

ISAR高分辨成像和参数估计算法研究ISAR高分辨成像和参数估计算法研究ISAR高分辨成像和参数估计算法研究

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对元胞自动机森林火灾模型进行了深度优化修复了较多bug，权衡了树的生长和火灾，达到一个较好的仿真效果，适合初学！

考虑高超声速飞行器飞行过程中气动参数变动导致的不确定,将模糊控制与二阶滑模控制相结合,形成自适应模糊二阶滑模控制器,用于控制高超声速飞行器姿态的飞行系统中.依据奇异摄动理论,设计快速和慢速双闭环系统控制角速率和姿态角.设计二阶滑模控制器用于有效地衰减抖振,同时对姿态角指令实现准确和快速跟踪.采用自适应模糊逻辑逼近高超声速飞行器动力学和运动学模型中的不确定部分,以对控制器进行有效补偿,基于Lyapunov稳定性理论,推导模糊规则参数的自适应律,确保整个闭环控制系统的稳定.仿真结果表明,所提出的高超声速飞行器的自适应模糊滑模控制系统能够有效抑制气动参数摄动的影响,对姿态角指令有较好的跟踪性能.

XGM2019e is a combined global gravity field model represented through spheroidal harmonics up to d/o 5399, corresponding to a spatial resolution of 2’ (~4 km). As data sources it includes the satellite model GOCO06s in the longer wavelength area combined with terrestrial measurements for the shorter wavelengths. The terrestrial data itself consists over land and ocean of gravity anomalies provided by courtesy of NGA (identical to XGM2016, having a resolution of 15’) augmented with topographically derived gravity over land (EARTH2014). Over the oceans, gravity anomalies derived from satellite altimetry are used (DTU13, in consistency with the NGA dataset). The combination of the satellite data with the terrestrial observations is performed by using full normal equations up to d/o 719 (15’). Beyond d/o 719, a block-diagonal least-squares solution is calculated for the high-resolution terrestrial data (from topography and altimetry). All calculations are performed in the spheroidal harmonic domain. In the spectral band up to d/o 719 the new model shows over land a slightly improved behavior over preceding models such as XGM2016, EIGEN6c4 or EGM2008 when comparing it to independent GPS leveling data. Over land and in the spectral range above d/o 719 the accuracy of XGM2019e slightly suffers from the sole use oftopographic forward modelling; Hence, errors are increased in well-surveyed areas compared to models containing real gravity data, e.g. EIGEN6c4 or EGM2008. However, the performance of XGM2019e can be considered as globally more homogeneous and independent from existing high resolution global models. Over the oceans the model exhibits an improved performance throughout the complete spectrum (equal or better than preceding models).