1) Recursive Orthogonal Least Squares(ROLS)
递归正交最小二乘
1.
First,a set of features of input images are generated by the Principal Component Analysis (PCA),then the features are used as the inputs of RBF neural networks,Recursive Orthogonal Least Squares(ROLS) is implemented to train the RBF neural networks.
本文提出了一种基于递归正交最小二乘的径向基函数(RBF)网络人脸识别算法,该算法首先使用主成分分析(PCA)提取输入图像特征,将提取的特征作为RBF网络的输入进行识别,在求取网络权值时采用递归正交最小二乘(ROLS)算法。
2) ROLSA
递归正交最小二乘算法
1.
The recursive orthogonal least square algorithm (ROLSA) is used to optimally select the hidden centers vectors of the radial basis probabilistic neural networks (RBPNN).
使用递归正交最小二乘算法(ROLSA)优选径向基概率神经网络(RBPNN)的隐中心矢量,微遗传算法(μGA)用于求解RBPNN最优核函数控制参数,并同ROLSA相结合(ROLS-μGA)来优化RBPNN的全结构(优选最优控制参数及隐中心矢量)。
3) recursive orthogonal least square algorithm
递推正交最小二乘算法
4) RLS
递归最小二乘
1.
The modified recursion lest squares (RLS) channel estimation method exploits preamble training sequences and adaptive forgetting factor to estimate channel state parameters without any prior statistics knowledge of channel in multiple input multiple outputorthogonal frequency division multiplexing (MIMO-OFDM) systems.
MIMO-OFDM系统中一种改进的递归最小二乘(RLS)信道估计方法可以在不需要任何信道统计信息的前提下,利用前导训练序列和自适应遗忘因子对信道状态参数进行估计。
2.
In order to speed the convergence rate of the existing RLS prediction in time-varying channels, an improved adaptive RLS prediction for single carrier-frequency domain equalization (SC-FDE) system was proposed.
针对现有的时变信道递归最小二乘(RLS)预测算法收敛慢的问题提出了一种单载波频域均衡(singlecarrier–frequency domain equalization,SC-FDE)系统中改进的自适应RLS预测算法。
3.
The computer simulation shows that the RLS-SIC is better than the LMS-SIC at the multiple access interference(MAI) and near-far scenarios.
通过计算机仿真可知,采用递归最小二乘的自适应串行干扰消除器比最小均方自适应串行干扰消除器在抗多址和抗远近效应方面性能要更胜一筹。
5) RLS
递归最小二乘法
1.
In this paper,a novel channel tracking algorithm based on Recursive Least Squares(RLS-IC) is proposed for Multi-input multi-output(MIMO) wireless communication systems under frequency flat fading with time variation environment.
该文提出了时变平坦衰落信道环境下多输入多输出(M IMO)通信系统中一种新的基于递归最小二乘法(RLS)的带干扰对消的信道跟踪方法(RLS-IC)。
2.
A new algorithm RLS will be u-tilized in order to study and improve the performance of the DPSK demodulation method.
采用常用的递归最小二乘法(RLS)自适应算法,研究了自适应解调方法对DPSK信号的解调及其性能。
6) recursive least square
递归最小二乘
1.
Aiming at the lower performance and floor effect of the traditional orthogonal frequency division multiplexing channel estimation,the OFDM channel estimation algorithm based on wavelet recursive least square support vector machine (WRLS-SVM) is proposed.
针对传统多径衰落下的OFDM导频信道估计性能低下,地板效应的缺陷,提出了基于导频的小波递归最小二乘支持向量机(WRLS-SVM)时变信道频率估计算法。
2.
A new one-dimensional(1D) recursive least square(RLS) adaptive channel estimation algorithm was proposed in time domain.
分析了正交频分复用(OFDM)信道估计中的信道冲激响应(CIR)泄漏问题,提出了新的时域一维递归最小二乘(RLS)自适应信道估计算法。
3.
Then after selecting the reliable counterpart of tracks reported by diverse radars as the prior information,the bias estimation can be eventually made by a recursive least square estimator and.
该方法利用对雷达系统偏差不敏感的新特征量———目标参照拓扑对多雷达航迹进行自适应的预关联,然后根据关联质量选择可靠的关联航迹对作为雷达系统偏差估计的先验信息,最后应用递归最小二乘算法进行偏差估计,估计结果可为预关联过程提供依据。
补充资料：正交递归选择法
分子式：
CAS号：
性质：实验设计优化中一种新的变量筛选法。以预报残差平方和作为变量筛选判据；数据用格兰姆-施密特正交化分解；采用多方位搜索方式，即每次循环选出若干个候选变量，每个候选变量下次循环又产生各自新的候选变量。由于采用多方位搜索方式，使搜索范围增加，但正交化分解使计算量大大降低。此法可以得到预报能力较强的模型，在实际应用中能较有效地找到最优模型。
CAS号：
性质：实验设计优化中一种新的变量筛选法。以预报残差平方和作为变量筛选判据；数据用格兰姆-施密特正交化分解；采用多方位搜索方式，即每次循环选出若干个候选变量，每个候选变量下次循环又产生各自新的候选变量。由于采用多方位搜索方式，使搜索范围增加，但正交化分解使计算量大大降低。此法可以得到预报能力较强的模型，在实际应用中能较有效地找到最优模型。
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