In this paper, the Kalman filter approach is used to accurately estimate the parameters of first-order model for the evaluation of roundness errors.
本文利用卡尔曼滤波方法精确地估计圆度误差评定中一阶模型参数。
In this paper, the first order approximate model of Doppler frequency is assumed, and an algorithm based on the extended RELAX method is proposed to estimate the parameters of chirp signals.
该文采用上述情形的多普勒频率的分段一阶近似模型，在此基础上，提出一种基于推广RELAX算法的线性调频信号参量估计方法。
In this paper, the first order approximate model of Doppler frequency is assumed, and an algorithm based on the extended RELAX method is proposed to estimate the parameters of chirp signals.
该文采用上述情形的多普勒频率的分段一阶近似模型，在此基础上，提出一种基于推广RELAX算法的线性调频信号参量估计方法。
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