The new algorithm works in this way: in training mode, the RLS algorithm is used;
新算法是这样工作的：在训练方式，采用RLS算法；
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。
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。
It consists of two-stage RLS algorithm which can on line be implemented, and has the fast convergence rate.
它由两段RLS算法组成，可在线实现，具有快的收敛速度。
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。
This paper discusses the fundamental principles and the design methods of LMS algorithm and robust RLS algorithm.
为此，文中分别论述并比较了LMS算法和基于鲁棒rls算法的自适应滤波方法的基本原理及实现方法。
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。
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。
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。
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 results show that the speed identification with RLS algorithm has low cost and high reliability and robustness, and the damping control strategy proposed is effective and feasible.
结果表明，利用递推算法进行转速辨识成本低，可靠性、鲁棒性高；提出的阻尼控制策略有效可行。
The coefficients of the FIR transversal filter was identified by using adaptive RLS algorithm while the output signal of the vibration pick-up was input into the FIR transversal filter.
该方法是将拾振器的输出信号作为FIR横向滤波器的输入，用自适应rls算法对FIR横向滤波器系数进行辨识而最终获得可以恢复拾振器原始输入信号的反卷积滤波器。
At first this paper studies the structure of the adaptive transversal filter, and analyzes the common adaptive filter algorithm (LMS, RLS and NLMS) 's characteristics and applied range, and so on.
首先本文研究了横向自适应滤波器结构，分析了自适应滤波的几种常用算法(LMS,RLS和NLMS)的特点，应用范围等。
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。
A speed identification method based on recursive least square (RLS) algorithm is introduced into electric power steering (EPS) system for estimating the speed of EPS motor.
将基于递推最小二乘算法的转速在线辨识方法引入电动助力转向系统中，以估计助力电动机的转速。
The algorithm can remarkably improve the convergence speed and precision of the identification process compared with the partially decoupled RLS adaptive identification algorithm.
该算法与部分解耦的RLS自适应算法相比，显著提高了辨识过程的收敛速度和精度。
Then, both LMS adaptive algorithm and RLS adaptive algorithm are introduced in theory, as well as the converging performance and tracking performance of them and their improvement form are analyzed.
然后从理论上介绍了常用的两大类自适应算法—LMS类自适应算法和RLS类自适应算法，对两大类算法及其改进形式的收敛和跟踪性能优劣进行了分析。
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。
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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