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1·After analyzing and processing the logical relationship of stochastic signal, the way of PLC program is put forward.

序流程图，在分析、处理随机信号逻辑关系的基础上，提出了PLC的编程方法。

2·Based on decomposition and reconstruction of the signals by filter sets, the trend-signal is separated from stationary stochastic signals.

这种方法通过滤波器组将信号分解与重构，实现趋向性信号与零均值平稳随机信号的分离。

3·In order to meet the technical requirement nowaday, this paper represents how to perform stationary stochastic signal analysis with microcomputer.

为适应现代工程技术的需要，介绍了平稳随机信号分析在微型计算机上的实现和应用。

4·Through changing some parameters such as type, frequency, amplitude, offset, and so on, it can get the amplitude eigenvalue that corresponding with the cycle signal and the stochastic signal.

它可以通过改变信号的类型、频率、幅值、偏移量等参数值求取对应的周期信号和随机信号的幅值特征值。

5·Compared with the traditional method, it does not need disassembling the power spectral densities of stochastic signal covariance and is not bound to if the power spectral densities are rational.

与传统的方法相比，无需对随机信号的协方差函数的功率谱进行分解，不受限于协方差函数的功率谱是否为有理式。

6·The system composition block diagram and program flow of charts are presented. After analyzing and processing the logical relationship of stochastic signal, the way of PLC program is put forward.

并给出了系统组成框图和程序流程图，在分析、处理随机信号逻辑关系的基础上，提出了PLC的编程方法。

7·From the point of view of the modulation of RPPM, chaotic signal with stochastic characteristics is introduced as its modulation, which has the good performance just like the random signal.

从随机脉位调制脉冲多普勒雷达信号调制角度出发，又引入了具有类随机性的混沌信号作为其基本调制信号，性能与采用随机信号相接近。

8·We study numerically the effect of signal modulating noise in bistable stochastic dynamical systems.

用数值方法研究了双稳随机动力系统的信号调制噪声效应。

9·However, recent research has shown that addition of an appropriate amount of noise can actually improve signal detection in a nonlinear system, an effect called stochastic resonance.

然而最近的研究发现，在非线性系统中加入适当的噪声实际上可以提高信号的察觉，就是所谓的随机共振。

10·On the other hand, most of existing theoretical methodologies for optimizing the signal offset are deterministic in nature, which ignore the stochastic variations of vehicles.

而另一方面，现有的有关优化信号位相差的理论方法都是确定性的，通常忽略了车流的随机变动。