1) time-variant autoregressive modeling
时变自回归建模
2) time-varying autoregressive model
时变自回归模型
1.
In this paper,an algorithm of normalized parametric adaptive matched filter based on time-varying autoregressive model is introduced.
文中介绍了一种基于时变自回归模型的归一化参数自适应匹配滤波算法。
3) time-varying autoregressive models
时变自回归模型
1.
By exploring the time-varying autoregressive models,a new Gaussian particle filter was introduced to solve speech enhancement based on the time-varying autoregressive models.
在分析语音信号的时变自回归模型的基础上,采用了一种新的滤波器即高斯粒子滤波器,该滤波器是基于粒子滤波方法得到一高斯分布来近似估计未知状态变量的后验分布,在符合高斯假设和一定粒子数的情况下,可以获得近似最优解,并用它来解决TVAR模型的语音信号增强问题。
4) Time-Varying Autoregressive
时变自回归
1.
The Research on Nonstationary Signal Based on Time-Varying Autoregressive Model and Its Application in Fault Diagnosis;
基于时变自回归的非平稳信号建模及故障诊断应用研究
5) time varying parameter auto-regressive model
时变参数自回归模型
6) MAR modeling
多变量回归建模
补充资料：自调自净自度
【自调自净自度】
（术语）同自调项。
（术语）同自调项。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条