The arithmetic to control all kinds of linear dominated sections and resoluble conditions are expatiated in this paper.

阐述了各类线性控制器的相应控制算法，及其辨识条件。

In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel .

域的角度,采用间序列中多维自回归模型实现对舰船运动姿态的辨识。

In a UHF passive RFID system, a reader transmits an unmodulated continuous wave (CW) to tags, which not only provides energy to tags but also serves as the carrier of tag backscatter signals.

在超高被动式射辨识系统里，读取器传送未调变过之连续波讯号给标签，其不但提给标签也作为标签反向散射讯号的载波。

The arithmetic to control all kinds of linear dominated sections and resoluble conditions are expatiated in this paper.

阐述了各类线性控制器的相应控制算法，及其可辨识条件。

In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel .

可从时域的角度,采用时间序列中多维自回归模型实现对舰船运姿态的辨识。

In a UHF passive RFID system, a reader transmits an unmodulated continuous wave (CW) to tags, which not only provides energy to tags but also serves as the carrier of tag backscatter signals.

在式射辨识系统里，读取器传送未调变过之连续波讯号给标签，其不但可提供能量给标签也作为标签反向散射讯号的载波。

The arithmetic to control all kinds of linear dominated sections and resoluble conditions are expatiated in this paper.

阐述了各类线性控制器控制算法，及其可辨识条件。

In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel .

可从时域角度,采用时间序列中多维自回归模型实现对舰船运动姿态辨识。

In a UHF passive RFID system, a reader transmits an unmodulated continuous wave (CW) to tags, which not only provides energy to tags but also serves as the carrier of tag backscatter signals.

在超高被动式辨识系统里，读取器传送未调变过之连续波给标签，其不但可提供能量给标签也作为标签反向散载波。

The arithmetic to control all kinds of linear dominated sections and resoluble conditions are expatiated in this paper.

阐述了各类线性控制器相应控制算法，及其可条件。

In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel .

可从时域角度,采用时间序列中多维自回归模型实现对舰船运动姿态。

In a UHF passive RFID system, a reader transmits an unmodulated continuous wave (CW) to tags, which not only provides energy to tags but also serves as the carrier of tag backscatter signals.

在超高被动式系统里，读取器传送未调变过之连续波讯号给标签，其不但可提供能量给标签也作为标签反向散讯号载波。

The arithmetic to control all kinds of linear dominated sections and resoluble conditions are expatiated in this paper.

阐述了各类线性控制器的相应控制算法，及可辨识条件。

In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel .

可从域的角度,间序列中多维自回归模型实现对舰船运动姿态的辨识。

In a UHF passive RFID system, a reader transmits an unmodulated continuous wave (CW) to tags, which not only provides energy to tags but also serves as the carrier of tag backscatter signals.

在超高被动式射辨识系统里，读取器传送未调变过之连续波讯号给，不但可提供能量给也作为反向散射讯号的载波。

The arithmetic to control all kinds of linear dominated sections and resoluble conditions are expatiated in this paper.

述了各类线控制器的相应控制算法，及其可辨识条件。

In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel .

可从时域的角度,采用时间序列中多维自回归模型实现对舰船运动姿态的辨识。

In a UHF passive RFID system, a reader transmits an unmodulated continuous wave (CW) to tags, which not only provides energy to tags but also serves as the carrier of tag backscatter signals.

在超高被动式射辨识系统里，读取器传送未调变过之连续波讯号给标签，其不但可提供能量给标签也作为标签反向散射讯号的载波。

The arithmetic to control all kinds of linear dominated sections and resoluble conditions are expatiated in this paper.

阐述了各类线性控制器的相应控制算法，及其可辨识条件。

In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel .

可从时域的角度,采用时间序列中多维自回归模型实现对舰船运姿态的辨识。

In a UHF passive RFID system, a reader transmits an unmodulated continuous wave (CW) to tags, which not only provides energy to tags but also serves as the carrier of tag backscatter signals.

射辨识系统里，读取器传送未调变过之连续波讯号给标签，其不但可提供能量给标签也作为标签反向散射讯号的载波。

The arithmetic to control all kinds of linear dominated sections and resoluble conditions are expatiated in this paper.

阐述了各类线性控制器的相应控制算法，及其可辨识条件。

In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel .

可从时域的角度,采用时间序列中多维自回归模型实现对舰船运动姿态的辨识。

In a UHF passive RFID system, a reader transmits an unmodulated continuous wave (CW) to tags, which not only provides energy to tags but also serves as the carrier of tag backscatter signals.

在超高被动式射辨识系统里，读取器传送未调变过之连续波讯号给标签，其不但可提供能量给标签也作为标签反向散射讯号的载波。

The arithmetic to control all kinds of linear dominated sections and resoluble conditions are expatiated in this paper.

阐述了各类线性控制器的相应控制算法，及其可辨识条件。

In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel .

可从时域的角度,采用时中多维自回归模型实现对舰船运动姿态的辨识。

In a UHF passive RFID system, a reader transmits an unmodulated continuous wave (CW) to tags, which not only provides energy to tags but also serves as the carrier of tag backscatter signals.

在超高被动式射辨识系统里，读取器传送未调变过之连续波标签，其不但可提供能量标签也作为标签反向散射的载波。

The arithmetic to control all kinds of linear dominated sections and resoluble conditions are expatiated in this paper.

阐述了各类线性相应算法，及其可辨识条件。

In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel .

可从时域角度,采用时间序列中多维自回归模型实现对舰船运动姿态辨识。

In a UHF passive RFID system, a reader transmits an unmodulated continuous wave (CW) to tags, which not only provides energy to tags but also serves as the carrier of tag backscatter signals.

在超高被动式射辨识系统里，读取传送未调变过之连续讯号给标签，其不但可提供能量给标签也作为标签反向散射讯号。