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- 最小均方法（LMS）LMS (Least Mean Square)
- 最小均方法LMS
- 最小均方（LMS）LMS (least mean square)
- 基于最小均方误差的圆弧分段曲线拟合方法METHOD OF CIRCULAR ARC FRAGMENTED CURVE-FITTING BASED ON LEAST MEAN-SQUARE ERROR
- 最小的lowest
- 本课题选取最小均方根法(LMS)进行模型参数的自适应辨识,以保证建模精度。Subsequently, the least mean square (LMS) algorithm is chosen for the adaptive parameter identification to ensure the modeling accuracy.
- 文摘:提出了一种基于最小均方误差准则的圆弧分段曲线拟合方法。Abstract: We present a method of circular arc fragmented curve-fittingbased on least mean-square error rule in this paper.
- 最小均方误差准则minimum mean-square error criterion
- 最小均方lowest mean square
- 可变泄漏最小均方（VL-LMS）算法variable leaky least mean square(VL LMS) algorithm
- 最小均方误差least mean-square error
- 最小均方差准则least-mean-square-error criterion
- 最小均方差MMSE
- 最小均方处法least mean square algorithm
- 最小均方估计least mean-square estimate
- 最小均方算法least mean square algorithm
- 最小均方滤波LMS
- 最小均方加权weighted least squares (WLSs)
- 基于维特比算法和最小均方算法的自适应判决反馈均衡性能比较Characteristic Comparison of Adaptive Decision- Feedback Equalization between the LMS Algorithm and the Viterbi Algorithm
- 最小均方最佳化least mean-square optimization
