深空接收机关键技术分析

通过对JPL、ESA等深空接收机技术进行研究,并结合当前国内信号处理技术发展状况,分析了深空接收机的诸多关键技术,从信号处理角度讨论了提高接收灵敏度的方法和适用技术,以解决深空微弱信号的捕获、跟踪和解调.着重介绍了微弱信号频率捕获、超窄带锁相环、边带辅助残留载波环、环路加窗技术、加权IDF、SSME信噪比估计技术、变环路带宽与变窗口技术等关键技术,对我国自主设备研制具有一定的参考价值.     

太阳能热动力发电系统中高温热管式吸热/蓄热器技术研究

介绍了近年来热管式吸热/蓄热器的研制情况,分析了热管式吸热/蓄热器的结构原理,认为热管式吸热器不仅能改善温度均匀性,而且能有效利用相变材料,这使得吸热器的热性能和质量得到明显改善,可成为新一代太阳能热动力系统重点研制的对象,并指明了研制热管式吸热/蓄热器需解决的几个关键问题。     

Identifying the true nature of price discovery and cross-market informational flow in the investment grade CDS and equity markets

We examine the comparative efficiency of systematic investment grade credit default swap (CDS) and equity markets using a time-varying coefficient vector autoregression. This modeling framework enables a view of cross-market informational flow along each point in the time-period under investigation by taking into account parameter instability. We obtain smoothing estimates of parameters capturing such flow between CDS and equity markets using daily data from 2004 to 2019, and measure the strength of flow via relative predictive gains. In contrast to prior studies, we find a two-way interactive effect in which certain types of information are captured more efficiently in prices by each market. We also find that the time-varying coefficient vector autoregression results in superior forecasting gains relative to models not accounting for price discovery. These results have implications for systematic investors, arbitrageurs and stakeholders who monitor systematic markets for their informational content.     

应用锁相环技术判别混沌相变的方法

针对经典的李氏指数法（Lyapunov Exponential Method）等混沌相变判别方法复杂度高的问题，提出了一种应用锁相环技术判别混沌相变的新方法。首先，理论推导了混沌系统的解析特性，分析了系统在不同相态下含有的频率成分；〖JP2〗然后，构建了针对混沌系统的数字锁相环模型，研究锁相环下混沌态和大周期态呈现的频率特性；最后，提出了一种基于锁相环技术的混沌相变判别新方法。仿真实验显示，相比于李氏指数法，所提方法判别速度快一个数量级，检测差错率为0时，性能提高近2 dB。新方法应用锁相环技术，简便易行，判别速度快，为混沌相变判别的工程应用提供了新的手段。     

铁碳合金相图的计算机处理技术

介绍了“铁碳合金相图ＣＡＩ课件”中的图形处理技术，阐述了拟合曲线的方法、曲线的绘制及其他相关处理技术。