1) two step Least Mean Square algorithm (TSLMS)
两步最小均方算法
2) variable step-size LMS
变步长最小均方算法
1.
In order to find new algorithms and improve navigation accuracy,the paper studies the variable step-size LMS algorithm and normalized LMS algorithm based on H ∞ optimal estimation,and apply them to the INS/SMNS integrated navigation.
为了寻找新的适合于该系统的信息融合算法,研究了基于H∞最优估计理论的变步长最小均方算法和规格化最小均方算法,并将它们应用于惯导/景象匹配组合导航中。
3) LMS algorithm
最小均方算法
1.
This paper presents a kind of adaptive algorithm: Least Mean Square(LMS algorithm).
为了达到最佳的滤波效果,使自适应滤波器在工作环境变化时自动调节其单位脉冲响应特性,提出了一种自适应算法:最小均方算法(LMS算法)。
4) least mean square algorithm
最小均方算法
1.
An adaptive transverse filter using least mean square algorithm;
采用最小均方算法的自适应横向滤波器
2.
At each moment, the least mean square algorithm is performed sequentially in every set of sub-filters.
该算法将滤波器按质因数分解为多组滤波器组合,从最短的子滤波器分组开始迭代,逐步过渡到原滤波器,在每一时刻,采用最小均方算法顺序求解分组内各子滤波器的权系数。
3.
The way to choose the attenuating index and design variable (convergent factor or stepsize) is stated for guaranteeing the convergence of the parameter estimates, and the analysis indicates that under attenting excitation the least mean square algorithm also has a good performance:i.
给出了衰减激励信号的定义 ,并在衰减激励条件下 ,利用随机过程理论 ,研究了随机系统最小均方算法的收敛速率 ,阐述了参数估计误差收敛时 ,衰减指数和算法中设计参变量 (收敛因子或步长 )的选择方法 。
5) LMS
最小均方算法
1.
The research and application of a new adaptive LMS;
一种新的自适应最小均方算法及其应用研究
2.
Both normalized least mean square (NLMS) algorithm and variable step-size least mean square (VSSLMS) algorithm, based on H optimal estimation, and it s application to INS/DS integrated navigation system are studied in tins paper.
文中研究了基于H~∞最优估计的规格化最小均方算法和变步长最小均方算法,并将其应用到惯导/双星组合导航系统中。
3.
The harmonic detection principle is discussed,and the variable step-size least mean square(LMS)is used to predict the detected signals,which uses the estimation of the time-average of er.
论述了自适应滤波器谐波检测原理并利用变步长的最小均方算法(LMS)对所需检测信号进行预测,而预测算法的步长因子是根据误差信号的时间均值估计来调节的,即当滤波器的预测系数远离最优解时,步长比较大,以加强动态响应速度和对时变系统的跟踪能力;当滤波器的预测系数接近最优解时,步长比较小,以获得较小的稳态误差。
6) least mean square
最小均方算法
1.
When computation of LMS(Least Mean Square) algorithm is reduced, error of the gradient estimate is increased.
由于以往小计算量最小均方算法在减小算法计算量的同时,增大了算法中的梯度估计误差,所以这些算法虽然计算量小但性能却比传统的LMS算法降低了许多。
2.
An adaptive method based on least mean square(LMS) algorithm was proposed to calculate fractional Fourier transform.
通过对连续型分数阶傅里叶反变换进行离散化采样,得到适合数值计算的离散形式,进而通过适当的选择输入向量和目标函数构造自适应滤波器,并采用最小均方算法进行自适应计算,所得的滤波器权向量即为分数阶傅里叶变换的结果。
补充资料：最小辐亮度与最小辐照度(见核爆炸火球)
最小辐亮度与最小辐照度(见核爆炸火球)
minimum-brightness and minimum-irradiance
zuixiao fuliangdu yu zuixiaofu乙haodu最小辐亮度与最小辐照度(minimum-brightness and而nimum一irradianee)见核爆炸火球。
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