Description: 考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。给出3个步长值的比较。-consider a linear adaptive equalizer block diagram as the principle of "modern digital signal processing" Introduction to the p.275 adaptive equalizer application schema. LMS algorithm with the adaptive equalizer, painted a square experimental error of convergence curve, given final design filter coefficients. Experimental a length of the training sequence to 500. Conduct 20 separate experiments, painted square error of the convergence curve. Given three step-value comparisons. Platform: |
Size: 4096 |
Author:lidong |
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Description: 考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。给出3个步长值的比较。-consider a linear adaptive equalizer block diagram as the principle of "modern digital signal processing" Introduction to the p.275 adaptive equalizer application schema. LMS algorithm with the adaptive equalizer, painted a square experimental error of convergence curve, given final design filter coefficients. Experimental a length of the training sequence to 500. Conduct 20 separate experiments, painted square error of the convergence curve. Given three step-value comparisons. Platform: |
Size: 4096 |
Author:lidong |
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Description: 研究用于自适应均衡器的LMS算法的性能，数据源产生有零平均和单位方差的由符号+1和-1组成的Bernoulli的序列{I(n)}.数据源之后的信道可以用升余弦脉冲响应来模拟。
-study for the adaptive equalizer LMS algorithm performance, Data Sources have zero mean and unit variance from the-1 and a symbol of the Bernoulli sequence (I ( n)). Data Source after the channel can be raised-cosine pulse response simulation. Platform: |
Size: 1024 |
Author:lee |
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Description: 比较经典的用lms算法实现自适应均衡器的matlab的程序，适合初学者学习-Comparison of the classical LMS algorithm with adaptive equalizer matlab procedures, suitable for beginners to learn Platform: |
Size: 69632 |
Author: |
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Description: 介绍了基于最小均方算法(LMS 算法) 的自适应均衡器的原理和结构,针对用硬件实现LMS
算法的自适应均衡器存在的诸多缺点,利用MATLAB 工具对各种结构形式的自适应均衡器在不同
信道模型下的收敛速度和精度进行仿真,并介绍了该仿真程序。-Introduction based on the least mean square algorithm (LMS algorithm) of the adaptive equalizer of the principles and structure, for hardware implementation using LMS adaptive equalizer algorithms exist many drawbacks, the use of MATLAB tools for a variety of structural forms of adaptive equalizer channel model in different convergence speed and accuracy of simulation, and introduction of the simulation program. Platform: |
Size: 191488 |
Author:宋 |
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Description: 这个是9阶的lms自适应均衡器simulink，是教授给的材料，实际上只要修改阶数，能实现n阶lms自适应均衡器。-This is a 9 bands LMS adaptive equalizer simulink, is to teach the material to, in fact, as long as the modified order to realize n-order LMS adaptive equalizer. Platform: |
Size: 16384 |
Author:cyq0220 |
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Description: This script runs a simulation loop for either a linear or a DFE equalizer. It
uses the RLS algorithm to initially set the weights, then uses LMS thereafter to minimize execution time. It plots the equalized signal spectrum, then generates and plots BER results over a range of Eb/No values. It also fits a curve to the simulated BER points, and plots the burst error performance of the linear and DFE equalizers. The adaptive equalizer objects automatically retain their state between invocations of their "equalize" method. Platform: |
Size: 2048 |
Author:熊牧野 |
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Description: 研究利用LMS自适应均衡器纠正存在加性白噪声的信道的畸变。讨论步长参数 和特征值扩散度 对学习曲线的影响。-To examine the use of LMS adaptive equalizer to correct the existence of additive white noise distortion channel. Discussion of step parameters and eigenvalues of the proliferation of degrees of impact on the learning curve. Platform: |
Size: 131072 |
Author:喻海 |
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Description: 研究利用RLS算法自适应均衡器纠正存在加性白噪声的信道的畸变。讨论特征值扩散度 对学习曲线的影响。 比较RLS算法和LMS算法在不同信噪比情况下的学习曲线。
-RLS algorithm using adaptive equalizer to correct the existence of additive white noise distortion channel. Eigenvalue discussion diffusivity impact on the learning curve. Comparison of RLS algorithm and LMS algorithm for different signal to noise ratio in the case of the learning curve. Platform: |
Size: 131072 |
Author:喻海 |
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Description: 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. Platform: |
Size: 1024 |
Author:xieliwei |
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Description: 一个MATLAB程序，用以实现基于最小均方误差算法的自适应均衡器，通常可以直接应用在数字通信系统中-A MATLAB program used to implement an LMS adaptive equalizer which can be directly applied in the digital communication systems Platform: |
Size: 3072 |
Author:Evan |
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Description: 基于lms算法的自适应均衡器 比较不错的一个pdf文件-Lms algorithm based on adaptive equalizer is doing relatively well in a pdf file Platform: |
Size: 192512 |
Author:cc |
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