平稳的

It was also observed that the rougher asperities damaged gradually by shearing and wearing in small region and the surface in contact increases with the increasing of normal stress and shear displacement.

因此，对任一条不规则的节理粗糙线，可以通过非平稳部分的正倾角或负倾角和平稳部分的平均粗糙角的结合来定量描述其表面粗糙度。

This paper introduces a recurrence formula for estimating the variances of errors of a sequence forecasted by an autoregression model and gives two examples under both smooth and nonsmooth conditions.

讨论了自回归模型的预测误差的方差估计问题，给出了详细的递推计算公式，并给出了平稳序列与非平稳序列的例子各1个。

Oil some orders are to pay attention to driving the behavior to dawdle that the result of study reveals the limousine driver: Open the car light, driving a vehicle steadily of more than 100 kilometres per hour, driving a vehicle steadily of 50 to 70 kilometers of speeds per hour, it make air conditioning, engine last number of times, take number of people, speeds idle, wet, cloudy day, 70 to 90 kilometer is the urgent to drive a vehicle, pass through go up a slope by highway section,etc.

研究结果显示小客车驾驶者注意驾驶行为耗油部份顺序为：开车灯、时速一百公里以上的平稳行车、时速五十到七十公里的平稳行车、开冷气、引擎启动次数、乘载人数、怠速、行经地面潮湿路段、阴天、时速七十到九十公里的急加速行车、行经上坡路段等。

In this paper, based on the principle of orthogonality of the adaptive filte...

此动态判断条件对平稳与非平稳环境中的自适应检测均适用，不同条件下的处理结果验证了该方法的有效性。

To build an appropriate mathematic model of the random drift of flexible gyro ,two methods are discussed,using non-stationary time series analysis and using stationary time series analysis based on wavelet discomposition.

以挠性陀螺的随机漂移为研究对象，采用非平稳时间序列分析法和基于小波分解的平稳时间序列分析法，建立相应的随机漂移模型。

Some non-stationary time series can be decomposed into several approximate stationary time series with wavelet decomposition.Decomposed time series are forecasted with auto-regression model,to obtain forecasting results of the original time series.

通过小波分解可以将某些非平稳时间序列分解成多层近似意义上的平稳时间序列，然后采用自回归模型对分解后的时间序列进行预测，从而得到原始时间序列的预测值。

This paper discusses the identifyability and identification algorithms for the non-minimum-phase linear system with unmeasurable non-stationary input.

摘要非平稳过程在实际中是大量遇到的，该文研究当系统输入是不可量测的非平稳过程时，系统相位的可辨识性及辨识方法。

If the initial state of the system is zero and the input is one-sided white noise, the input and output of the system are approximately stationary. This is a special case for non-stationary processes.

对零初始条件下的渐近平稳过程这一非平稳特例做了较详细的研究给出了若干有意义的结果。

Research BSS algorithm of non-stationary signals by using natural gradient rule. Two new adaptive BSS algorithms of non-stationary signals with temporary mixing or convolutive mixing are deduced and validated.

基于自然梯度学习方式研究非平稳信号的盲分离，分别推导出信号在瞬态线性混合以及卷积混合情况下的自适应分离算法，验证了算法在处理语音等非平稳信号方面的优越性。

We focus our research on adaptive BSS problem, searching for simple and effective adaptive BSS algorithms and applying them to different BSS problem. BSS research could be done in many way according to their different mixing mode (such as temporary mixing, convolutive mixing or nonlinear mixing), different signal character (such as stationary or non-stationary signals, narrow-band or broad-band signal), and different proceeding methods i.e.

根据信号间不同的混合方式（如瞬态线性混合、卷积混合或非线性混合等）、信号本身的不同属性（如平稳信号或非平稳信号、窄带信号或宽带信号等）、以及对信号不同的处理方式（如时域、频域或时频域处理）等，盲信号分离研究可以在多方面展开。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。