从一个多通道自回归过程拟合杂波信号的概念出发，提出了用线性预测法实现机载相控阵雷达的时空二维自适应信号处理。
To cope with the time varying and Doppler broadened clutter in airborne phased array radars, it is required that the signal processing be adaptive and two dimensional (spatial and temporal).
线性回归模型的建立，一个很重要的过程就是自变元的选择，它直接决定着模型的优劣。
Independent variable of selection decides directly the advantage and disadvantage of the model which is the very important process of the establishment of the linear regression model.
在本论文中，我们讨论了三种视频源模型：自回归模型、马尔科夫调制流体流模型、马尔科夫调制泊松过程模型(MMPP)。
In this paper, we discuss three types of video source models: a autoregressive model, a Markov-modulated fluid flow model, and a Markov-modulated Poisson process model (MMPP).
对具有无限方差的一阶自回归非平稳过程进行了研究。
We study the unstable autoregressive process for the first order with infinite variance.
本文采用一类非线性自回归模型(NARX)，描述怠速过程中怠速供油量、点火提前角与曲轴转速之间的关系。
This paper presents a nonlinear autoregressive exogenous (NARX) model to approximate dynamics of crankshaft speed with the mass of the idle feeding fuel and the spark advance.
本文利用时间序列谱分析和卡尔曼滤波的方法讨论了两个随机过程，主要是自回归滑动平均(ARMA)过程，的叠加问题。
Using the methods of time series spectral analysis and Kalman filter, this article discussed the additive problems of two stochastic processes, mainly Auto Regression Moving Average (ARMA) processes.
建立屏山站日流量分期平稳自回归模型，并模拟了序列长度为5200年的日流量过程对该模型进行检验。
Divided period Stationary Autoregressive model for daily flow of Pingshan hydrological station is established in this paper. Daily flow procedure during 5200 years is simulated to test this model.
本文提出设计可控自回归滑动平均过程(CARMA)的离散时间模型参考自适应控制新方法。
A new method is suggested in this paper for design discrete-time Model Reference Adoptive control (MRAc) for controlled Auto-regressive Moving Average (CARMA) processes.
利用微硅陀螺测量的数据，运用过程辨识理论和时间序列分析方法，建立了陀螺静态漂移的自回归（AR）模型，进而得到连续微分方程。
Based on measured data of micro silicon gyro and time-series theory, the AR model of gyro static drift is established, then the continuous-time differential equation is got.
针对生物发酵过程中温度控制难以建模的问题，基于非线性自回归滑动平均（NARMA）模型，设计了神经网络自回归滑动平均（NN-NARMA）模型。
To solve the problem of modeling temperature control in the fermentation process, a neural network nonlinear auto regressive moving average(NN-NARMA) modeling method for nonlinear system is proposed.
笔者利用时间序列中的自回归模型AR来求取脉动风的随机过程，找出了适合某电视塔的自回归模型的阶数。
This paper makes use of auto regression model named AR in the array of time to found out the stochastic process of pulse wind. The suitable step number of auto regression …
提出一种 自适应 自回归（ADAR）预测模型，可根据谐波过程特性变化 自适应 调整 自回归预测模型的参数乃至结构。
ADAR(ADaptive AR) predicting model is presented, whose parameters and exponent number can be adaptively tuned according to the characteristic variation of harmonic.
提出一种 自适应 自回归（ADAR）预测模型，可根据谐波过程特性变化 自适应 调整 自回归预测模型的参数乃至结构。
ADAR(ADaptive AR) predicting model is presented, whose parameters and exponent number can be adaptively tuned according to the characteristic variation of harmonic.
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