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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
The method to generate a stochastic excitation signal by curve fitting with random digitals is proposed.
阐述了用随机数据点拟合出平滑的数据序列的随机激励信号生成方法。
There are many reports on extracting the single frequency signal under noise by the stochastic resonance, but in which the information that the signal carries is zero.
已有利用随机共振在强噪声下提取单一频率信号的若干报道，但单一频率信号所携带的信息量为零。
It is investigated that the characteristics of stochastic resonance of the periodic pulse signal added Gaussian white noise through a threshold system.
研究含有高斯白噪声的周期脉冲信号，通过阈值系统后的随机共振特性。
The stochastic resonance(SR)in an optical bistable system under the simultaneous action of multiplicative and additive noises and periodic signal is studied using the adiabatic approximation theory.
运用绝热近似理论，研究了由加性噪声和乘性噪声及周期信号驱动的光学双稳系统的随机共振现象。
The basic principle of stochastic resonance (SR) in weak signal detection was introduced.
阐述了应用随机共振对微弱信号进行检测的原理。
It is investigated the characteristics of stochastic resonance of the signal added Gaussian white noise in a bi-threshold system.
通过双阈值系统中的随机共振特性，研究含有高斯白噪声的信号。
A sell signal occurs when the Stochastic Oscillator rises above 80% and then declines below that level.
出售的信号时发生随机子80%以上的上升，然后拒绝低于该级别。
The physical mechanism of signal processing based on the aperiodic stochastic resonance (ASR) system is analyzed, and a statistical approach for recovering the binary signal is proposed.
分析了利用非周期随机共振进行基带信号检测的物理机制，提出了一种基于统计的信号恢复新方法。
The paper presents a kind of bayesian inference of simple signal in dynamic measurement. The simple measured signals and output signals are thought of as realizations of stochastic process.
本文提出一种动态测试中单次性信号测试数据的贝叶斯推断方法，其中单次性的被测信号和输出信号被认为是随机过程的现实。
Through measuring the electric current signal, the soft sensing model used for tool wear estimation based on stochastic fuzzy neural network(SFNN) is presented in this paper.
本文通过检测电流信号基于随机模糊神经网络建立了刀具磨损量的软测量模型。
To evaluate the influences of the stochastic component on apparatus, it is necessary to remove the periodic components from the vibration signal.
为评估随机成分对设备的影响，需要将周期成分从振动信号中去除。
The signal analysis methods based on the statistical theory of stochastic point processes for unit activity of neurons were described.
本文结合随机点过程的统计理论和数字信号分析原理探讨了几种神经元放电活动的信号分析方法。
A buy signal occurs when the Stochastic Oscillator declines below 20% and then rises above that level.
买的信号时发生随机子拒绝20%以下，然后升起那级以上。
The effects of multiplicative noise on additive noise-induced internal signal stochastic resonance(ISR)are studied in a Neurospora circadian clock system driven by external signal or not.
利用有和无外信号作用的脉孢菌生物钟体系，研究了与加性噪音相关或不相关的乘性噪音对加性噪音诱导出的内信号随机共振的影响作用。
This paper considers a linear optimal estimation problem for a stochastic process viewed as the output signal of the time delay stochastic systems driven by a white noise input.
本文研究在白噪声输入情况下，时滞系统随机输出信号的线性滤波估计问题。
In this paper a linear estimation problem for a stochastic process which is viewed as the output signal of a linear second-order vector difference equation driven by a white-noise input is considered.
本文考虑在白噪声输入情况下，二阶向量差分方程随机输出信号的滤波估计问题。
Later, as a new trial of application of parameter-induced stochastic resonance in signal processing, the problem of target detection in sea reverberation is considered.
接着，作为参数调节随机共振在信号处理中的一个新的尝试，我们考虑了海洋混响噪声背景下的目标探测问题。
Concerning the detection of weak signal in stronger noise background, a novel method was proposed in terms of stochastic resonance processing and by using the better de-noise feature of wavelet.
针对强噪声背景中的弱信号检测问题，在经典随机共振处理方法的基础上，利用小波良好的去噪特点，提出了随机共振加小波去噪检测弱信号的新方法。
Concerning the detection of weak signal in stronger noise background, a novel method was proposed in terms of stochastic resonance processing and by using the better de-noise feature of wavelet.
针对强噪声背景中的弱信号检测问题，在经典随机共振处理方法的基础上，利用小波良好的去噪特点，提出了随机共振加小波去噪检测弱信号的新方法。
应用推荐