调整滤波器参数的方法就是自适应算法(Adaptive Algorithm),自适应滤波算法的研究是当今自适应信号处理中最为活跃的研究课题之一。寻求收敛速度快、计算复杂性低、数值稳定性好的自适应滤波算法是研究人员不断努力追求的目标。目前两种典型的自适应滤波算法是最小均方(Least Mean Square,LMS)算法和递归最小二乘(Recursive...
Matlab calculate the weight coefficient of the LMS adaptive algorithm, and its learning curve, and the RLS adaptive weight coefficient algorithm of the learning process. Keywords:, LMS and RLS adaptive filter, the Matlab simulation 课题简介:零均值、单位方差的白噪声通过一个二阶自回归模型产生的AR...
Matlab calculate the weight coefficient of the LMS adaptive algorithm, and its learning curve, and the RLS adaptive weight coefficient algorithm of the learning process. Keywords:, LMS and RLS adaptive filter, the Matlab simulation 课题简介:零均值、单位方差的白噪声通过一个二阶自回归模型产生的AR...
Matlab calculate the weight coefficient of the LMS adaptive algorithm, and its learning curve, and the RLS adaptive weight coefficient algorithm of the learning process.Keywords:, LMS and RLS adaptive filter, the 4、Matlab simulation课题简介:零均值、单位方差的白噪声通过一个二阶自回归模型产 生的...
C. Reddy, "LMS and RLS Algorithm for Smart Antennas in a WCDMA Mobile Communication Environment", ARPN Journal of Engineering and Applied Sciences, Vol.4 No.6, pp. 78-88, August 2009.S. Rani, P. V. Subbaiah and K. C. Reddy, "LMS and RLS Algorithm for Smart Antennas in a WCDMA ...
ComparativeStudybetweenLMSandRLSAdaptiveFilterAlgorithm LIJiao-jnLIGangLI fChongqingUniversityofTechnology,Chongqing400054) Abstract:Thispaperintroducesthebasicprincipleofadaptivefilter.ThetwobasicLMSandR LSadaptive algorithmaresimulatedandtheirperformancesarecompared.Simulationresultsandexampl esindicatethat:both algorithms...
【论文快读】The Multiplicative Weights Update Method: A Meta-Algorithm and Application 学习问题具有如下形式:在一个区域X上的数据集xx,以一定的concept c(x)映射到{0,1},我们通过学习到假设函数h(x),定义error为E[|h(x) c(x)|]E[|h...;η)≤η+η21 x<e x得到 ln(1 η)≤η+η2定理...
T he t heory structure o f adaptive algor ithm, model and deplo yment are discussed in this paper . Fur thermore, the analysis of LM S and R LS, w hich are the classical adaptive algor ithm, and the result of simulation are also presented. Key words: adaptive algorithm; M SE; ...
通过上述仿真结果可以看出:①均衡后信号的星座图比均衡前集中, 并且利用RLS算法均衡后信号的星座图更加集中, 均衡效果更好;②随着样本数的增加, 两种算法的误差曲线都收敛, 且RLS算法的收敛速度比LMS算法快;③均衡后的误码率与均衡前相比都有所降低, 并且利用RLS算法均衡后误码率降低更为显著。
采用最小均方误差(LMS)算法和递归最小二乘(RLS)算法进行MATLAB仿真分析,对比两种误差收敛曲线可以看出,LMS算法误差收敛速度和收敛精度均要低于RLS算法,所以RLS算法收敛更快更精确. ⛄ 部分代码 %% System Identification Using Recursive Least Square (RLS) and Least Mean Square (LMS) algorithm ...