1、

The nonlinear least-squares estimation and the extended Kalman filtering ( EKF) are two of the most pervasive extrapolation and prediction methods, some important engineering problems about how to apply these two methods in spacecraft thermal balance test are discussed.

文章对非线性最小二乘估计和广义卡尔曼滤波(EKF)两种温度外推预报方法在航天器热平衡试验中的应用做了相关的研究。

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2、

The Derive of Least-Square ( LS) Adaptive Estimation Algorithm

加权最小平方(LS)自适应估计算法推导

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3、

Weighted Least-square Estimation of Target Position by Repeated Using the Same Transmitter ′ s Measurement

重复使用发射站数据的加权最小二乘定位方法

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5、

The recursive in order least-squares ( LS) algorithms can be applied to estimation and identification of FIR or AR system parameters where a fixed set of input signal samples is available and the order of the model is un-known.

阶递归最小二乘(LS)算法适用于观察样本个数固定且模型阶数未知时FIR或AR参数的最佳估计和识别问题中。

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6、

performance analysis is presented on least-square ( ls) channel estimation in ofdm systems with existing energy leakage-which occurs when path-delays of the radio channel are not sample-spaced.

本文首次对无线信道中多径时延为非整数倍采样间隔时,OFDM系统中的信道估计能量泄漏问题进行了理论分析。

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