Search - lms based channel equalization

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[Speech/Voice recognition/combine] AdaptiveEqualizar DL : 0: 基于LMS与RLS算法的自适应均衡程序，包括加性高斯信道、瑞利平坦信道、频率选择性衰落信道。-Based on the LMS and RLS algorithm adaptive equalization procedures, including additive Gaussian channels, flat Rayleigh channel, frequency selective fading channel.
Update : 2025-04-26 Size : 16kb Publisher : 郭伟
[source in ebook] f_lms DL : 0: 均衡技术是克服码间干扰(Inter-Symbol Interference,ISI)的有效措施,由于信道特性的随机性与时变性,实际中消除码间干扰最常用的是自适应均衡器。本文对基于最小均方(Least Mean Squares,LMS)算法和递推最小二乘(Recursive Least Squares,RLS)算法的自适应均衡器进行仿真研究,分析了信道特性与设计参数对自适应均衡器的收敛速度与稳态性能的影响。 -Equalization technique is to overcome inter-symbol interference (Inter-Symbol Interference, ISI) and effective measures, due to the randomness of the channel characteristics with the variability in practice to eliminate inter-symbol interference is the most commonly used adaptive equalizer. In this paper, based on minimum mean-square (Least Mean Squares, LMS) algorithm and recursive least squares (Recursive Least Squares, RLS) algorithm is adaptive equalizer simulation studies to analyze the channel characteristics and design parameters of the adaptive equalizer convergence speed and steady-state performance.
Update : 2025-04-26 Size : 1kb Publisher : xieliwei
[Program doc] SC_FDE_system_frequency-domain-equalization-algori DL : 0: 。本文研究了SC-FDE系统中的最小均方误差判决反馈均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法， MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟踪信道变化并更新均衡器的抽头系数，其性能略优于最小均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback Equalization (MMSE-DFE) and criteria based on LMS adaptive equalization algorithms MATLAB simulation results show that LMS adaptive equalization algorithm as effective with Track changes and update the channel equalizer tap coefficients, its performance slightly better than the minimum Mean square error decision feedback equalization algorithm.
Update : 2025-04-26 Size : 3.54mb Publisher : 姜烨
[matlab] RLS DL : 0: 给出完整的通信系统和多径通信信道，并使用带RLS算法的判决反馈均衡器进行均衡。内有详细注释。在DFE(lms算法）的基础上，采用RLS算法产生 0 1 序列--> QPSK映射 --> 上变频 --> 信道（多径、加噪） --> 下变频 --> LMS算法均衡 --> 解映射、判决 --> 求误码率、星座图-This progam include a complete communication system with a multipath channel, based which decision feedback equalization with RLS algrithem is implemented.
Update : 2025-04-26 Size : 2kb Publisher : 西电东风
[matlab] 11123_2 DL : 0: 比较NLMS、基于分块的LMS和基于符号的LMS三种算法，并且实现信道均衡-More NLMS, based on the LMS and block LMS three algorithms based on symbols, and to achieve channel equalization
Update : 2025-04-26 Size : 1kb Publisher : hanxiang
[matlab] example DL : 1: 基于LMS的自适应信道均衡，训练序列采用QPSK信号，从星座图可直观的观察结果-LMS-based adaptive channel equalization, the training sequence using QPSK signal constellation can be observed from the observation
Update : 2025-04-26 Size : 1kb Publisher : tianle