平稳

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。

But it cant deal with nonstationary noise signals. Aiming at this problem ajoint time—frequency analysis method is studied in the paper based on STFT spectrum.

基于互谱分析的声强算法是分析平稳噪声信号的有效工具，但对于短时非平稳噪声信号其分析能力有所不足。

Drive a vehicle of 1 foreword 125/32t is my factory the crucial equipment of molten steel of a swing, main task is seasonable transmitting; of stage of packets of Lian Zhu is big circumgyrate smoothly is the most crucial one annulus on steel-making production catenary, once have an accident, can suspend steel-making production, bring about blast furnace even cease wind, of this equipment move smoothly, very important.

梗概： 1引言125/32t行车是我厂一台吊运钢水的关键设备，主要任务是及时将转炉出来的钢水平安、平稳地转送到连铸大包回转台；是炼钢生产链上最关键的一环，一旦出事，会中断炼钢生产，甚至导致高炉的休风，这台设备的平稳运行，非常重要。

This novel method is applicable to instantaneous or convolutive mixture models with stationary or non-stationary input signals.

此方法不仅适用于平稳或非平稳信号，而且还可用于瞬时或卷积混和模型的盲源分离问题。

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。

Fagaceae and Theaceae are the dominant families, with the RBA value being 60.1% and 12.2%, respectively. The Shannon Wiener index of the tree layer is about 3.0. The indicies of H ′ and Pielou evenness index both increased with sampling area, and stabilized at 1500 m 2 and 1000 m 2, respectively.

多样性分析结果表明，乔木层Shannon-Wie-ner指数为3.0左右；随着取样面积的增加，H'值和均匀度指数逐渐增加；1500 m2时H'趋于平稳，1000m2时E趋于平稳。

we carry on logistics demand forecast by taking time-series model and explain its application to logistics demand forecast by justment of data stationary, stead, standardization, modeling, discernment, making steps, parameter estimate and examination to predict, error and calculation of confidential interval.

本文采用时间序列模型进行物流需求预测，用实例从数据平稳性的判断，平稳化，标准化，建模，经模型的识别、定阶、参数估计和检验，到预测及误差和置信区间的计算，详细地说明了时间序列模型在物流需求预测中是如何应用的。

At present,the analytic tools used for the power signals in microcomputer protection include FFT,Kalman filter and finitely shock response filter,etc.They are effective to analyze stationary signals but localizable for unstationary signals analysis.Especially it is difficult to identify nonlinear fault,e.g,the nonlinear high impedance short trouble is along-term unsolved problem of power system.

目前，用于微机保护中的电力信号分析工具有FFT、Kalman滤波器、有限冲激响应滤波器等，它们对于平稳信号的分析是高效的，但在分析非平稳信号中有其局限性；尤其对非线性故障识别困难，如探测高阻抗非线性短路故障便是电力系统一个长期没有很好解决的问题。

The data of the company management is essentially an unstationary time sequence. Regarded as a signal, the time sequence is decomposed into different frequency channels. Then wavelet decomposition and reconstruction are used to analyze and forecast the time sequence.

把公司管理上的数据看成一个非平稳的时间序列，利用小波函数将该时间序列分解到不同的频率通道上，然后将分解后的信号当作近似的平稳时间序列，用一些传统的统计方法进行预测。

In the negative and interrogative forms, of course, this is identical to the non-emphatic forms.

。但是，在否定句或疑问句里，这种带有"do"的方法表达的效果却没有什么强调的意思。

Go down on one's knees;kneel down

屈膝跪下。。。下跪祈祷