Description: 数字信号处理（机械工业出版社）的源码，7章介绍IIR滤波器设计和matlab源码，8章介绍FIR滤波器设计和matlab源码，9章介绍自适应（LMS,NLMS,RLS,LMS的快速算法）滤波器设计和matlab源码，希望帮助有需要的朋友-digital signal processing (Machinery Industry Press), the source, Chapter 7 IIR filter design and Matlab source, Chapter 8 FIR filter design and Matlab source, adaptive Chapter 9 (LMS, NLMS, RLS, the fast algorithm LMS) filter design and Matlab source, in order to help a friend in need Platform: |
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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: |
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Author:lidong |
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Description: 数字信号处理（机械工业出版社）的源码，7章介绍IIR滤波器设计和matlab源码，8章介绍FIR滤波器设计和matlab源码，9章介绍自适应（LMS,NLMS,RLS,LMS的快速算法）滤波器设计和matlab源码，希望帮助有需要的朋友-digital signal processing (Machinery Industry Press), the source, Chapter 7 IIR filter design and Matlab source, Chapter 8 FIR filter design and Matlab source, adaptive Chapter 9 (LMS, NLMS, RLS, the fast algorithm LMS) filter design and Matlab source, in order to help a friend in need Platform: |
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Author:py528977 |
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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: |
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Author:lidong |
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Description: 提供rls的matlab实现，用RLS算法设计一个数字滤波器，实现语音增强的目标，得到清晰的语音信号-Provide rls realize the matlab using RLS algorithm to design a digital filter to achieve the goal of speech enhancement have been given clear voice signal Platform: |
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Author:naturexu |
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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: |
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Author:xieliwei |
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Description: 用RLS算法实现自适应均衡器，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-RLS algorithm with adaptive equalizer, draw a single experiment squared error convergence curve of the final design of the filter coefficients are given Platform: |
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Author:leo |
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Description: 数字信号处理，LMS和RLS实例：给定正弦信号s(n)，现在我们获得得是受影响的数据x(n)=s(n)+v(n) ， v(n)为方差1.25的告示白噪声信号，请设计一个滤波器，使其输出与s(n)的均方误差最小，并给出用LMS和RLS算法的自适应求解方法的MATLAB仿真。-Digital signal processing, LMS and RLS instance: Given a sinusoidal signal s (n), now we get the data have affected x (n) = s (n)+ v (n), v (n) 1.25 for the variance Notice the white noise signal, to design a filter so that the output and s (n) The minimum mean square error, and gives the algorithm with the LMS and RLS adaptive method for solving the MATLAB simulation. Platform: |
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Author:codeshare |
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Description: 基于格-梯型结构的RLS算法,结合格型滤波器阶数可调与横型滤波器时间可调的特性，设计出阶数和时间分别递推的自适应滤波器，使得平方误差最小.-Based on the lattice- ladder structure of the RLS algorithm, combined with the lattice filter order of adjustable features adjustable cross-type filter time, recursive adaptive filter design order and time, so that the minimum squared error. Platform: |
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Author:khd |
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Description: RLS&LMS自适应滤波器的设计,算法，以及不同步长时两者收敛性的对比。-RLS & LMS adaptive filter design, algorithm, as well as the convergence of the two contrasting unsynchronized long. Platform: |
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Author:董雨晴 |
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Description: 本文从高速数字信号处理器的特点、自适应滤波器的原理及主要应用领域入手，介绍了自适应滤波器的基本理论思想，具体阐述了自适应滤波器的基本原理、算法及设计方法。本文中，对两种最基本的自适应算法，即最小均方误差(LMS)算法和递归最小二乘（RLS)算法进行了详细的介绍和分析，并针对两种算法的优缺点进行了详细的比较。最后用DSP实现了自适应滤波器。实验结果表明，该自适应滤波器滤波效果优越。(Starting from the characteristics of high-speed digital signal processor, the principle of adaptive filter and the main application fields, the basic theory of adaptive filter is introduced, and the basic principle, algorithm and design method of adaptive filter are described in detail. In this paper, two basic adaptive algorithms, namely the minimum mean square error (LMS) algorithm and recursive least squares (RLS) algorithm are introduced and analyzed in detail, and the advantages and disadvantages of the two algorithms are compared in detail. Finally, the adaptive filter is implemented by DSP. The experimental results show that the adaptive filter has better filtering effect.) Platform: |
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Author:古古怪怪asd
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