什么导致了RLS ？
Twenty percent of pregnant women also suffer from RLS.
两成的孕妇也患有RLS。
Other cases of RLS are associated with iron deficiency or nerve damage in the legs.
像是缺铁和腿部神经损坏等其他原因也能导致RLS。
The condition was first described in 1945 by Swedish nerve specialist Karl-Axel Ekbom. As a result, RLS is sometimes known as Ekbom syndrome.
瑞典神经病学专家卡尔 - 阿克塞尔·埃克波姆在1945年首次发现这种疾病，因此不宁腿综合征又被称为埃克波姆综合征（Ekbom syndrome）。
And unfortunately, many people who have RLS also have trouble controlling sudden limb movements, which can occur every 20 to 30 seconds all night long — a major sleep disrupter.
并且不幸的是，许多RLS患者同时有控制腿部突然抽动的障碍，这种抽动在整个夜间每隔20至30秒就会发生一次。
Resonance light scattering (RLS) technique.
共振光散射技术。
When the training sample is very large, RLS algorithm is used to train the networks.
在训练样本很大时，选择利用RLS算法来训练网络。
This paper focuses on the effect of a RLS algorithm smart antenna employed in IS 95 system.
研究了运用迭代最小二乘（RLS）算法的智能天线系统提高IS 95系统抗多址干扰性能的方法。
RLS algorithm, the preparation of a MATLAB program to achieve adaptive interference cancellation.
RLS算法，编写了MATLAB程序实现自适应干扰对消。
In this method RLS algorithm is adopted to adjust the weights of filter for its good astringency.
滤波算法选用了RLS算法，主要是考虑到该算法的收敛性比较好。
By a light polarization experiment, the RLS of PAR was demonstrated to be complete polarized light.
光偏振实验表明PAR的散射光为完全偏振光。
RLS algorithm contain some intrinsic defects, so the scholar put forward some improved RLS algorithms.
RLS算法也有一些固有的缺陷，一些学者相继提出了各种改进的RLS算法。
The researchers found one genetic variant was strongly associated with RLS with periodic limb movements.
研究人员发现一种基因变体与RLS的周期性肢体运动十分相关。
The results show that LMS algorithm is not as rapid as RLS algorithm, but it is simple and easy to realize.
结果表明，虽然LMS算法不如rls算法收敛速度快，但算法简单，易于实现。
In this paper, we first build a real-time electrocardiograph signal model using the RLS self-adapting algorithm.
本文首先采用RLS自适应算法对心电信号进行实时建模。
Overall, people with that particular genetic variant were 50 percent more likely to have RLS with periodic limb movements.
总体看来，拥有那一特异性基因变体的人群患伴随周期性肢体运动的RLS几率高出50%。
Compared with other RLS algorithms, it has smaller steady-state error and better ability of tracking dynamical parameters.
与其它的迭代最小二乘相比，具有较小的稳态误差和良好的动态跟踪能力。
A new mixed serial parallel multi user detection algorithm with decision feedback was proposed on the basis of RLS algorithm.
提出了一种基于RLS算法的新的决策反馈串并混合型多用户检测算法。
By applying CUSUM method, the problem of response lag of RLS algorithm in detecting abrupt change of road surface is resolved.
应用累积求和统计控制法(CUSUM)，解决了RLS算法在检测跃变路面时响应滞后的问题。
Results The adaptive RLS algorithm could restrain respiration component of vital parameter signal and extract heartbeat signal.
目的：从生物雷达非接触式检测所得生命参数信号中提取心跳信号，实现呼吸和心跳信号的有效分离。
The study volunteers filled out RLS questionnaires, had their periodic limb movements measured during sleep and gave blood samples.
研究自愿者填写了RLS调查问卷，测量了他们睡眠过程中的周期性肢体的运动，并提供了血液样本。
The fluorescence excitation and emission spectra of ATA do not overlap, so resonance fluorescence was not involved in the RLS spectrum.
ATA的荧光激发光谱和发射光谱不重叠，说明RLS光谱中没有共振荧光成分。
In order to improve the tracking performance of the fixed forgetting factor RLS algorithm in the time-varying system, a modified RLS algorithm is proposed.
为了改善固定遗忘因子递推最小二乘(rls)算法在时变系统中的跟踪性能，提出一种改进的RLS算法。
The clutter is predicted exactly and subtracted from the input signal by RLS adaptive filter, leaving components of the target signal in the residual noise.
通过RLS自适应滤波器，背景杂波分量被准确地预测并从输入信号中去除，从而只剩下目标信号与残留噪声。
The estimated parameters using RLS procedure are the optimum solution based on the condition that the sum of square of the forecasted errors is the minimum.
最小二乘法估算出的模型参数在预报误差平方和最小的条件下是最优解。
Finally, a numerical example shows that the modified RLS algorithm result in faster convergence speed by solving the contradiction between speed and accuracy.
算例表明：改进的RLS算法能解决收敛速度与收敛精度之间的矛盾，有效地加快了收敛速度。
The proposed RLS method has been used for determination of proteins in human serum, and the results were in good agreement with those obtained by Bradford assay.
将纳米粒子共振光散射探针应用于人血清总蛋白的测定，并与考马斯亮蓝的方法作比较，得到了满意的结果。
For the proposed one we use the fast RLS algorithm in lattice predictive filtering part with some modification and the LMS in adaptive transversal filtering part.
算法在格型预测器部分采用快速RLS算法，而在自适应横向滤波器部分采用LMS算法，并加以适当改进。
The new identification method for nonlinear systems is presented, which combinesrecursive least-square (RLS) parameter estimation with nonlinear programming (BFGS).
所提出的辨识新方法，以递推最小二乘（RLS）参数估计与非线性规划（BFGS）为主体。
Model feedback correction algorithm of GPC has Benn studied. Combining the RML and forgetting factor RLS, an improved RML parameter estimation method has been given.
研究了广义预测控制的模型反馈校正方法，将递推极大似然法和遗忘因子递推最小二乘法结合起来，给出了一种改进的递推极大似然参数估计算法。
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