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递归最小二乘滤波 recursive least square filter英语短句 例句大全

时间:2023-03-16 07:35:31

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递归最小二乘滤波 recursive least square filter英语短句 例句大全

递归最小二乘滤波,recursive least square filter

1)recursive least square filter递归最小二乘滤波

1.Numerical characteristic was calculated in order to give therecursive least square filter which could be used for single-scan degree sonar image and improve the underwater robot path planning method\"s real time.分析了侧扫声呐接收机的噪声来源:自噪声和水体噪声,概括了它们影响声呐接收机的辐射路径;求出回波噪声的数字特征,在此基础上给出单扫描角度上声呐图像数据的递归最小二乘滤波算法,可提高水下机器人路径规划算法的实时性。

2)the least square recurrence filter递推最小二乘滤波

1.The principle ofthe least square recurrence filter (LSM) method is introduced.在简要介绍递推最小二乘滤波原理的基础上,利用MATLAB软件,通过编写M文件S函数,实现用递推最小二乘滤波对船摇位置进行滤波的仿真。

3)Recurrence method of wave least squares递推最小二乘滤波方法

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 existingRLS prediction in time-varying channels, an improved adaptiveRLS 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 theRLS-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。

英文短句/例句

1.The Research of Base on Recursion Least Squares Voltage Flicker;基于递归最小二乘法的电压闪变研究

2.Recursive Least Squares Policy Iteration Based on Geodesic Gaussian Basis Function基于测地高斯基函数的递归最小二乘策略迭代

3.RLS for Blind Source Separation Using Complexity Pursuit基于复杂度追踪的递归最小二乘盲源分离算法

4.Dynamic system modeling based on recurrent least squares support vector machines基于递归最小二乘支持向量机的动态系统建模研究

5.Adaptive Equalization Scheme for OFDM System Based on Recursive Least-square Method一种基于递归最小二乘的OFDM系统自适应均衡算法

6.Data Analysis Based on Hierarchical Partial Least-squares Regression;基于递阶偏最小二乘回归的数据分析

7.Application of Hierarchical Partial Least Squares Regression to Development Cost Prediction of Aircraft递阶偏最小二乘回归在飞机研制费用预测中的应用

8.Technique Analysis on Recursion Weighted Lest Square Algorithm Used in Direction-Finding Location in Multi-Stations多站测向定位中递归加权最小二乘法的技术分析

9.RECURSIVE FAST ALGORITHM FOR LEAST SQUARES ESTIMATION WITH HOUSEHOLDER TRANSFORMATION最小二乘估计的HOUSEHOLDER变换快速递推算法

10.Weighted Least Squares Estimate for Linear Regression Model;线性回归模型中的加权最小二乘估计

11.A Study on China s Non-governmental Investment Based on Partial Least-Square Regression Approach;我国民间投资的偏最小二乘回归研究

12.The Regressive Research of Bias Least Square Method of Public Financial Capability of China;我国财政能力的偏最小二乘回归研究

13.In this paper, Two Different Concepts for the Recursion of Least Square Estimation is Introduced.本文阐述了两类不同概念的递推最小二乘估计。

14.RLS Algorithm on Array Antenna with Failure Cells;阵列天线单元失效的递推最小二乘算法应用

15.Application of Recursive Least Square Method to Angular Error Checking递推最小二乘法在角位置误差检定中的应用

16.Recursive Partial Least-squares Modeling of Aromatics and Olefins in Gasoline递推偏最小二乘法的油品芳烃烯烃成分建模

17.Improved block-wise recursive partial least square modeling method and its application改进块式递推偏最小二乘建模方法及应用

18.Recursive extended least squares identification method based on auxiliary models基于辅助模型的递推增广最小二乘辨识方法

相关短句/例句

the least square recurrence filter递推最小二乘滤波

1.The principle ofthe least square recurrence filter (LSM) method is introduced.在简要介绍递推最小二乘滤波原理的基础上,利用MATLAB软件,通过编写M文件S函数,实现用递推最小二乘滤波对船摇位置进行滤波的仿真。

3)Recurrence method of wave least squares递推最小二乘滤波方法

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 existingRLS prediction in time-varying channels, an improved adaptiveRLS 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 theRLS-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 algorithmRLS 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 waveletrecursive 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 arecursive 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。

延伸阅读

递归分子式:CAS号:性质:将一个操作或一组操作多步重复的一种特定的处理过程。这种过程的某一步要用到它自身的上一步(或上几步)的结果。在人工智能语言中,大量使用递归调用。

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