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随机信号

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The conventional discrete random phases by registers shifting method are replaced by the introducing continuous uniform distribution phases. The proposed method can produce high quality random signals and is convenient in the software programming.

采用连续均匀分布的随机相位代替原来以寄存器移位方式生成的离散随机相位,这不但提高了信号的生成质量,而且使编程过程更简单。

The principles of suppressing random noises with K-L transformation in wavelet conversion domain are that 1 wavelet decomposition is carried out on seismic signals to form wavelet packet sections in time sharing and frequency division, 2 K-L transformation is utilized to remove noises on sections, and 3 the de-noise wavelet packet sections are reconstituted into seismic sections to remove random noises.

介绍了小波变换域K-L变换压制随机噪声的基本原理,即先将地震信号进行小波分解形成分时分频的小波包剖面,然后用K-L,变换对小波包剖面进行去噪,再将去噪后的小波包剖面重构回地震剖面,从而达到消除随机噪声的目的。

Firstly, the descriptions of Instantaneous Polarization Projection Sequences of signal and noise are presented and statistics of generalized distance between random EM wave and the anticipant signa are derived.

首先给出了目标散射信号和随机极化波的瞬态极化投影序列表征方法,导出了随机极化波的IPPS到期望点广义距离的统计特性。

The conclusions are drawed as following:(1) both reinforcement learning moedel and BBAM can fit the information searching behavior on web in given context;(2) faced with a general restriction, which means a strong uncertainty, the decision making behavior of bounded rationality agent should involve completely rationally calculation and routinism without any conscious reflection on the situation;(3) agent's cognition evolution should be directed by consciousness, the convergence is affected by three factors: the initial belief system, the ...

通过实证分析可以得出以下结论:(1)强化模型和BBAM在一定程度、一定条件内都能较好的刻画用户网络文献检索行为;(2)学习的发生是与特定的外部场景相联系的,在通常的非强外在约束下,有限理性个体进行随机决策时,其行为同时包含了有意识的理性计算和无意识的规则遵循;(3)在随机决策过程中,个体可能发生的认知进化应是有意识指导的结果,但收敛的方向却受到至少三个因素的影响:初始的信念状态、对反馈信号的主观判断能力、试错的次数。

To solve the problem of identifying weak signals with large parameters,principle of stochastic resonance is studied.Conception and realization of scale transformation stochastic resonance are proposed.

为解决大参数微弱信号的识别问题,在研究随机共振基本原理的基础上,提出了变尺度随机共振的概念并给出了实现方法。

That the electric elevator is that the call sign waits to work according to the outside as well as oneself controls law in fact, but call for is random , the electric elevator is that one people machine is each other dyadic in fact control system , the way the simple use sequential control or logic is controlled being that lift control system adopt the random logic therefore can not be satisfied with controlling call for's,controls.

实际上电梯是根据外部呼叫信号以及自身控制规律等运行的,而呼叫是随机的,电梯实际上是一个人机交互式的控制系统,单纯用顺序控制或逻辑控制是不能满足控制要求的,因此,电梯控制系统采用随机逻辑方式控制。

The relation between the parameter of ground motion and time is transformed into a pure random process with the amplitude varying with time. Based on the concept that there is the scaling invariant fractal structure in the transmission of earthquake motion and the self-affinity of the ground motion signal in time domain, an assumption is deduced that the curve of the stationary random noise of the ground motion varying with time is a fractal graph.

将一个运动参数的时间变化过程转化为具有时变振幅的一个纯随机振荡问题,运用地震运动传递具有无特征尺度的分形结构和地运动时域信号具有统计自相似性的概念,提出地面运动随机平稳噪声的时变曲线是一条分形曲线的假设。

In order to verify validity of the proposed methods, a dynamic stochastic route choice model based on Cross-nested Logit model was employed to generate traffic environment of dynamic stochastic user equilibrium.

为了验证本文提出的信号控制方法的有效性,利用Cross-Nested Logit 模型构建了动态随机路径选择模型来获得动态随机用户均衡的交通环境。

Based on the telegraph equation, the stochastic model for transmission lines isproposed, and the precise integration algorithm is combined with Monte Carlo method toanalyze the transient response of the stochastic model. Jarque-Bera test is made for thenormality of the model\'s output and the worst-case estimation is given.

基于电报方程建立了互连线的随机模型,结合精细积分算法与蒙特卡洛方法分析了该互连线随机模型的瞬态响应,通过对模型输出信号的正态性进行偏度-峰度检验给出了最差情况估计。

By making a numerical analysis of the bistable stochastic dynamical systems, we find that the effect of an input sinusoidal signal is also a sinusoidal signal in the output, and the effect of the white noise is a Wiener process. When the system parameters are small enough, the coupling effect between the sinusoidal signal and the white noise can be largely weakened.

随机共振是双稳系统在周期信号和噪声的作用下表现出来的非线性现象,当系统的非线性与信号和噪声之间存在某种匹配时,通过对系统施加适当强度的噪声,可以提高系统对信号的响应,系统输出的信噪比对噪声强度表现出一峰状曲线[11] 。

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此刻阴唇已经几乎完全的缝在一起了,排除多余淤血体液的管子和Foley导管从顶端冒出来。

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