本文介绍自回归谱分析法的另一种算法—前后向最小二乘法(LS算法)在亚毫米波付里叶变换谱中的应用。
The least square algorithm using forward and backward linear prediction (LS algorithm) for the autoregressive spectral estimates of the SMMW Fourier transform spectroscopy data is presented.
该文针对风速随机变化的特性，在风速统计特性研究的基础上，用自回归滑动平均(ARMA)方法建立了具有一定功率谱密度特性的风速模型。
This paper deals with stochastic characteristic of the wind speed, and gives an auto-regressive moving-average (ARMA) model for wind speed subjected to particular power spectral density.
利用分子的闭合轨道理论和分区自洽的迭代方法，首次从理论上计算了NO分子在强磁场中的回归谱。
Using molecular closed orbit theory and the region splitting and consistent iterative method, we firstly compute the recurrence spectra of NO molecule in strong magnetic field theoretically.
本文介绍了时间序列分析的线性谱(快速傅里叶变换fft谱)和非线性谱(自回归ar谱)。
In this paper time series spectra, both linear spectrum (FFT spectrum) and nonlinear spectrum (ar spectrum) are introduced briefly.
本文分两节对门限自回归模型中自回归条件异方差的广义谱密度检验进行了讨论。在第一节中，我们介绍了广义谱密度检验。
This thesis is composed of two sections in which we discuss generalized spectral density test of conditional autoregressive heteroscedasticity for threshold autoregressive model.
本文用自回归功率谱方法分析了极移、地球自转和大气激发函数的资料，得到了它们的低频谱。
The data of polar motion, rotation of the earth and atmospheric excitation function are analysed by the Auto-Regression power spectrum method, and their spectra at low frequency band are obtained.
为解决信号处理中非因果自回归（AR）系统的自适应辨识问题，本文提出了一种利用倒谱进行AR系统辨识的新方法。
A new cepstrum based noncausal autoregressive (AR) system identification method is proposed to solve the problem of adaptive identification of noncausal AR system.
为解决信号处理中非因果自回归（AR）系统的自适应辨识问题，本文提出了一种利用倒谱进行AR系统辨识的新方法。
A new cepstrum based noncausal autoregressive (AR) system identification method is proposed to solve the problem of adaptive identification of noncausal AR system.
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