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比较LMS，RLS, 和Kalman滤波器多用户检测器的性能-LMS comparison, RLS, and the Kalman filter multi-user detector performance
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回波抵消器中常用的几种自适应滤波算法有LMS, NLMS, RLS等算法。对现有主要算法的性能进行了分析，并对优缺点进行评价和比较。为了在收敛速度和运算量之间得到很好的折衷，对NLMS算法改进，得到了 PNLMS,Echo cancellation devices commonly used in adaptive filtering algorithm has several LMS, NLMS, RLS, such as algorithms. The main algorithm of t
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本自适应LSL算法实现线性预测
以及考察LSL算法的收敛性：
与LMS、RLS算法进行性能比较
-The LSL algorithm adaptive linear prediction and to study the LSL algorithm convergence: the LMS, RLS algorithm performance comparison
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回波抵消器中常用的几种自适应滤波算法有LMS, NLMS, RLS等算法。对现有主要算法的性能进行了分析，并对优缺点进行评价和比较。为了在收敛速度和运算量之间得到很好的折衷，对NLMS算法改进，得到了 PNLMS-Echo cancellation devices commonly used in adaptive filtering algorithm has several LMS, NLMS, RLS, such as algorithms. The main algorithm of t
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关于自适应滤波的算法仿真，其中应用了LMS算法和RLS算法，也比较了他们的性能-Adaptive filtering algorithms on the simulation, which applied the LMS algorithm and RLS algorithm, also compare the performance of their
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拟使用基于LMS与RLS的自适应算法在MATLAB平台上对带有两个权的自适应线性组合器进行仿真,进而对两类算法的性能作比较，同时也考察了两种算法在不同参数条件下曲线收敛性的变化-Intending to use the LMS and RLS-based adaptive algorithm in the MATLAB platform with two pairs of the right to self-adaptive linear combiner is simulated, and t
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Inter-symbol interference if not taken care off may
cause severe error at the receiver and the detection of signal becomes
difficult. An adaptive equalizer employing Recursive Least Squares
algorithm can be a good compensation for the ISI probl
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两种算法（LMS和RLS）实现CDMA系统盲多用户检测的仿真。结论验证了在加性高斯白招生信道下、同步DS-CDMA系统中接收机应用这两种盲多用户检测算法抑制多址干扰（MAI: multiple access interference）和码间串扰（ISI: inter symbol interference）的能力,仿真实验与理论推导相吻合。实验与理论都表明,RLS性能好于LMS，而LMS计算量明显小于RLS。-This paper discusses two algorithms (LMS an
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自适应算法LMS和rls的MATLAB仿真性能分析-LMS adaptive algorithm and MATLAB simulation performance analysis rls
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分别用LMS和RLS算法实现回音对消，并比较二者收敛性能，及不同信道参数对算法的影响-LMS and RLS algorithms were used to achieve echo cancellation, and compare the convergence performance of the two, and different channel parameters affect the algorithm
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盲信号分离(BSS)指在源信号混合和传输信道未知的情况下，只利用接收天线的输出观测混合信号抽取源信号的方法。本文简要阐述了常用的瞬时混合盲信号分离的LMS与RLS自适应算法，对RLS自适应算法重点研究分析了基于普通梯度与自然梯度的两种算法，并通过仿真实验来分析比较几种方法的性能。-Blind signal separation (BSS) refers to the source signal and transmission channel mixing unknown circumstanc
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智能天线自适应算法的研究，比较了LMS、RLS和MVDR三种算法的性能。-Smart antenna adaptive algorithm study to compare the performance of the LMS, RLS and MVDR three algorithms.
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自适应波束形成算法中，LMS算法和RLS算法的性能分析与比较优劣性-Adaptive beamforming algorithm, LMS algorithm and RLS algorithm performance analysis and compare the advantages and disadvantages of
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给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在gVJmRJe环境下调试，三种滤波器都采用了10次迭代，平均CtPWTRQ参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the gVJmRJe environment debugging, three kinds of filters using t
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给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在vqTFFhe环境下调试，三种滤波器都采用了10次迭代，平均iJYAEeY参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the vqTFFhe environment debugging, three kinds of filters using t
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给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在hhfRXBj环境下调试，三种滤波器都采用了10次迭代，平均vSAtnCY参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the hhfRXBj environment debugging, three kinds of filters using t
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给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在IixQFds环境下调试，三种滤波器都采用了10次迭代，平均DukvYML参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the IixQFds environment debugging, three kinds of filters using t
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自适应滤波算法的实现，RLS与LMS收敛性能比较代码。(Comparison of RLS and LMS convergence performance code)
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预测信号由二阶AR模型产生，为二阶线性预测滤波器，LMS算法与RLS算法性能对比(The predicted signal is generated by the two order AR model, and is the two order linear prediction filter,performance comparison between LMS algorithm and RLS algorithm)
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计算机仿真研究基于 LMS 算法和 RLS 算法的自适应系统识别性能.通过已知结构的系统来模拟未知系统是系统识别/辨识的一种基本方法.(The performance of adaptive system identification based on LMS algorithm and RLS algorithm is studied by computer simulation. It is a basic method of system identification / recognit
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