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: 4320 |
Author:lidong |
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Description: 这里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，在传统的LMS算法的基础上发展了LMS算法的应用。-here on the main LMS algorithm and some improvements to the LMS algorithm (NLMS. modified LMS algorithm, transform domain LMS algorithm) between the different points of comparison, in the traditional LMS algorithm developed on the basis of the LMS algorithm application. Platform: |
Size: 32099 |
Author:石安连 |
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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: 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: 这里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，在传统的LMS算法的基础上发展了LMS算法的应用。-here on the main LMS algorithm and some improvements to the LMS algorithm (NLMS. modified LMS algorithm, transform domain LMS algorithm) between the different points of comparison, in the traditional LMS algorithm developed on the basis of the LMS algorithm application. Platform: |
Size: 31744 |
Author:石安连 |
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Description: 构造一组被噪声污染的方波或三角波数据，试选取适当的FIR滤波器结构和参数，分别应用LMS,DFT/LMS和DCT/LMS算法来实现自适应滤波器，对改组数据进行滤波，并分析仿真结果。-Construction Group was one of the Noise Pollution square or triangular wave data, Examination choose appropriate FIR filter structure and parameters, application LMS, DFT/LMS and DCT/LMS algorithm to achieve adaptive filter, the reorganization data filtering, and analysis of simulation results. Platform: |
Size: 116736 |
Author:zhangyun |
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Description: 这 里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，在传统的LMS算法的基础上发 展了LMS算法的应用。另一方面又从RLS算法的分析中对其与LMS算法的不同特性进行了比较。-Here mainly on the LMS algorithm and some improvements of the LMS algorithm (NLMS algorithm, variable step size LMS algorithm, transform domain LMS algorithm) between the different points of comparison, in the traditional LMS algorithm developed on the basis of the application of the LMS algorithm. On the other hand from the analysis of RLS algorithm and LMS algorithm for its different characteristics compared. Platform: |
Size: 30720 |
Author:jj |
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Description: 应用LMS算法去除噪声，纯净信号为各种数字调制信号，本程序中选的是数字调幅信号8ASK，噪声是高斯白噪声，信噪比可以任意指定。-Application of LMS algorithm to remove noise, clean signal for a variety of digital modulation signal, this procedure is successful digital AM signal 8ASK, noise is white Gaussian noise, signal to noise ratio can be specified. Platform: |
Size: 1024 |
Author:李冰 |
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Description: LMS算法，已经通过相关调试，应用相应的语音段和噪声段文件进行调试-LMS algorithm, has been passed related to debugging, the application of appropriate voice and noise paragraph debug files Platform: |
Size: 1024 |
Author:lori |
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Description: 此源码程序是自适应滤波中的应用LMS算法进行仿真。对LMS算法的性能 收敛速度进行了研究-The source process is the application of adaptive filtering LMS algorithm simulation. The performance of the LMS algorithm convergence rate have been studied Platform: |
Size: 3072 |
Author:wzk |
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Description: 盲均衡中的应用，CMA+DDLMS（常数模+判决引导最小均方）算法的Matlab程序，用来处理16-QAM信号。-Application of blind equalization, CMA+ DDLMS (Constant Modulus+ Decision-directed least mean square) algorithm of Matlab procedures used to deal with 16-QAM signal. Platform: |
Size: 2048 |
Author:linning |
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Description: 这是关于LMS算法的源程序 其中还包括了一个应用实例源程序，可以自己运行仿真-This is the source on the LMS algorithm also includes a source application, you can run their own simulation Platform: |
Size: 1024 |
Author:陈浩 |
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Description: lms算法的一些研究成果，主要是这类算法的大致介绍和应用-lms algorithm the results of some studies, this type of algorithm is a general introduction and application of Platform: |
Size: 116736 |
Author:jay chou |
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Description: lms算法是自适应中的一种简单，易于实现的方法，收敛速度很快，所以应用很多-lms algorithm is adaptive in a simple, easy to implement method of fast convergence, so the application of many Platform: |
Size: 3072 |
Author:蓉儿 |
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Description: 一种改进的LMS算法及其在噪声对消中的应用。在分析传统定步长LMS算法和变步长LMS算法的基础上，提出了一种改进的变步长LMS算法。新算法利用瞬时误差绝对值三次方的指数形式和遗忘因子同时调整步长，更好的解决了收敛速度和稳态误差的矛盾-An improved LMS algorithm and its application in noise cancellation. In the analysis of the traditional fixed step and variable step size LMS algorithm based on LMS algorithm, a modified variable step size LMS algorithm. Absolute value of the new algorithm uses the instantaneous error and the form of cubic exponential forgetting factor while adjusting step, a better solution to the convergence speed and steady-state error of the contradictions Platform: |
Size: 1024 |
Author:dapeng |
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Description: 一种基于LMS的改进变步长算法及其应用，一种基于LMS的改进变步长算法及其应用-Improvements based on variable step size LMS algorithm and its application Platform: |
Size: 686080 |
Author:bs |
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Description: 自适应信号处理中的格型LMS算法，并与横向LMS做了比较。应用环境是系统辨识-lattice LMS algorithm of adaptive signal processing were compared with the horizontal LMS algorithm. Application environment is the system identification Platform: |
Size: 1024 |
Author:韩科 |
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Description: 改进的LMS算法及其在噪声对消中的应用，更好的解决了收敛速度和稳态误差的矛盾(The improved LMS algorithm and its application in noise cancellation can better solve the contradiction between convergence speed and steady-state error) Platform: |
Size: 1024 |
Author:啊催
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