这对瞬态信号和变频率的非平稳随机信号分析尤为重要。
It is especially important for the analysis on transient signals and zion-stationary random signals with changing frequencies.
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。
In order to meet the technical requirement nowaday, this paper represents how to perform stationary stochastic signal analysis with microcomputer.
用非线性随机信号分析方法研究了混沌序列的量化误差和扩散误差引起的有限精度效应。
By using nonlinear random signal analyzing technique, the chaotic finite precision effect due to quantifying error and diffusing error is studied.
本文首先分析了当前模拟信号随机性测试技术，通过比较，说明使用熵测度对信号的随机性进行评价更加准确与科学。
Firstly, this paper analyzes the current analog signal random testing technology, and describes using entropy measure is more accurate and scientific to estimate the randomicity of signal by contrast.
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。
After analyzing and processing the logical relationship of stochastic signal, the way of PLC program is put forward.
验证了时间序列分析方法在非平稳随机信号处理方面的可靠性；
The reliability of the time-series analysis method in processing unsteady random signals is verited.
本文通过对城市干道交通控制系统交通流波动特性的随机过程分析，提出了确定该系统信号周期的子系统比拟法。
This paper analyses the random process of traffic flow fluctuation of the traffic control system and presents the subsystem quasi -junction method for the determination of signal cycle of the system.
然后，从理论上分析了它抵消平稳随机过程中与信号不相关的加性随机噪声的机理；
Then, The WVD function's mechanism of suppressing additive random noise in stationary random process is analyzed theoretically.
文中利用对称相关函数理论，分析了抵消平稳随机过程中与信号不相关的加性随机噪声的机理，并应用于线谱信号检测。
The theory of symmetrical function is used to suppress additive stationary random noise; assumption is that the signal and the noise are mutually uncorrelated.
该文利用小波包变换的时频局部分析能力，研究了非高斯分布平稳随机噪声的统计特性，揭示了非高斯噪声信号的信号结构。
By exploiting wavelet packet transform to analyze signals both in time and frequency space, this paper researches the statistic property of non-Gaussian stationary noise and its signal structure.
在实际检测中，磁记忆信号属于随机信号、不具有平稳性，宜采用小波技术分析磁记忆信号。
In actual testing, magnetic memory signal belongs to random signal without stationarity, adjusting adopting wavelet technique to analyze magnetic memory signal.
在分析其切削力显著性影响因素的基础上，对切削力随机信号进行了现代谱分析与小波分析。
Based on the analysis of cutting regimes' influences on milling force, the spectrum analysis and wavelet analysis are applied on the random cutting force signals.
基于随机分形理论，采用分数布朗运动模型，应用R/S分析技术和基于小波变换的谱参数估计方法计算地震道信号的赫斯特指数。
The thesis based on random fractal theory, utilizing fractional Brownian motion model, using R/S analysis technique and wavelet transform method to estimate Hurst exponent which dep.
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。
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.
然后利用弹性波理论和信号随机调制理论，分析了多路随机振动互相作用。
Then the mutual affection of multi-pneumatic-hammers was studied using the theory of elasticity wave and random modulation.
提出了一种通用性强、适用于广义平稳随机过程非均匀采样信号谱分析的新方法——采样间隔统计分析法。
A new method, the sampling interval stat. analysis method, was set up to analyze the non-uniformly sampling signal of the wide-sense stationary random processes.
本文利用M序列的随机信号进行了机床运转状态下试验模态分析的探索。
This paper explores the experimental modal analysis of machine tool structures with rotating spindle. the excitation signal is the pseudo-random binary M series.
基于状态空间分析，给出了连续随机信号建模的时间序列分析方法，并证明了参数估计的一致收敛性。
Based on the state space analysis, the time series analysis method for identification of the stochastic continuous signals, proved as consistent convergence, is given.
高斯随机白噪声是一种常用的信号形式，在信号分析和信号处理中具有重要价值。
Gaussian random white noise is one of the mostly used signal form and is widely used in digital signal processing and analysis.
基于高斯分布随机信号模型，分析了二元光学器件对输入波面位相畸变的宽容度。
The tolerance of the BOE to the phase distortion with Gauss distribution of the input laser beam and the manufacturing error are analyzed.
提出了一种新的基于随机衰减信号的谱分析方法以用于船模耐波性能分析。
A new spectral analysis method based on random decrement signature was presented for ship seakeeping performance analysis.
文中介绍了基于数字滤波的低频随机信号实时功率谱分析仪的实现方法，并给出了实时算法的设计要点。
In this paper, a real time power spectrum analyzer of low frequency random signal based on digital filters is introduced, and a design method of real time arithmetic is given.
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 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.
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。
The signal analysis methods based on the statistical theory of stochastic point processes for unit activity of neurons were described.
地震信号和随机噪声具有不同的极化特性，可以利用极化分析的方法压制地震记录上的随机噪声。
Due to the fact that the polarization characteristics of seismic signals and random noises are different, polarization analysis can he used to attenuate random noises on seismic records.
对随机信号和混沌信号的特性进行了分析比较。
The characteristics of stochastic and chaotic signals have been studied.
第二部分详细地讲述了随机共振的原理，并就其在一维信号处理中的应用做了简要的分析；
And then tell the theory of Stochastic Resonance, the application in one-dimensional signals processing also involved.
分析了随机信号对开关函数功率谱密度特性的影响，据此提出随机脉宽调制技术的实用化设计方法。
The influence of random signals on the power spectral density characteristic of switching function is studied and a practical design of randomized PWM is proposed.
分析了随机信号对开关函数功率谱密度特性的影响，据此提出随机脉宽调制技术的实用化设计方法。
The influence of random signals on the power spectral density characteristic of switching function is studied and a practical design of randomized PWM is proposed.
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