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1下载：
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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比较LMS，RLS, 和Kalman滤波器多用户检测器的性能，包括信干比性能，剩余能量输出性能。-More LMS, RLS, and Kalman filter performance multi-user detector, including the signal to interference ratio performance, the remaining energy output performance.
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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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利用MATLAB仿真软件对LMS和RLS两种算法进行仿真，通过仿真比较了两种算法的收敛速度，对两种算法收敛后的误码率进行分析，研究了步长对LMS算法均方误差性能曲线的影响和遗忘因子对RLS算法性能曲线的影响。-Using MATLAB simulation software for two types of LMS and RLS algorithm simulation, the simulation compares the convergence rate of two algorithm
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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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自适应滤波器算法，包括LMS算法和RLS算法，两者进行了对比，从而得到性能的比较-Adaptive filter algorithms, including LMS algorithm and RLS algorithm, the two were compared in order to be comparative performance
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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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lms 算法的详细说明 （基于LMS与RLS算法的自适应均衡器性能研究）-lms detailed descr iption of the algorithm (LMS and RLS algorithm based adaptive equalizer performance of)
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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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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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关于LMS和RLS算法的详细的原理，性能比较以及程序，附程序说明-The principle of the LMS and RLS algorithms, performance comparison and procedures, with a descr iption of the procedures
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基于RLS算法，NLMS和LMS的自适应滤波器的MATLAB程序-LMS and RLS algorithm performance comparisons, including the right value compared with the
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LMS和RLS算法的对比，及其性能分析，研究其性能曲线的变化-Comparison of LMS and RLS algorithm and its performance analysis to study changes in the performance curve
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代码实现了二阶AR模型的最优权值递推，使用了LMS和RLS两种方法，对二者性能进行了比较，分别进行了单次和100次平均进行性能观察，并且仿真了不同步长因子对LMS算法的影响以及不同lamda值对RLS算法的影响。文档包含了模型的详细介绍以及2种方法的理论仿真和结果分析。代码以附在之后。-Code to achieve the optimum weights recursive second order AR model, the use of LMS and RLS are two method
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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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