Description: 写了著名的最小均方准则下的自适应算法，在matlab环境下运行-Wrote a well-known least mean square criterion of the adaptive algorithm, running in matlab environment Platform: |
Size: 1024 |
Author:Wang Zhao |
Hits:
Description: This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm
reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant document-This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: LMS algorithm in frequency domain rapid LMS is modified by XXX in XXX place, see details in XXX relevant document Platform: |
Size: 2048 |
Author:huangsir |
Hits:
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 |
Hits:
Description: LMS算法MatLab实现
LMS自适应滤波器是使滤波器的输出信号与期望响应之间的误差的均方值为最小，因此称为最小均方（LMS）自适应滤波器。-MatLab realize LMS algorithm LMS adaptive filter is to filter the output signal in response to and expectations of the error between the mean square value of the smallest, so called the least mean square (LMS) adaptive filter. Platform: |
Size: 158720 |
Author:jj |
Hits:
Description: 递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的-Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent Platform: |
Size: 3072 |
Author:闫丰 |
Hits:
Description: 采用Matlab编写的最小二乘法，实现对两类的正确分类-Prepared by the use of Matlab least squares method, to realize two types of correct classification Platform: |
Size: 2048 |
Author:junrren |
Hits:
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 |
Hits:
Description: Adaptive Echo Canceller Using a Modified LMS Algorithm
Abstract –– In this paper, an echo canceller is presented, using an adaptive filter with a modified LMS (Least Mean Square) algorithm, where this modification is achieved coding error on conventional LMS algorithm. simulation results, show a better convergence speed than conventional LMS algorithm, furthermore, Coded Error algorithm presents lesscomplexity for digital adaptive filters design, due to reduction of floating point operations.
Platform: |
Size: 1024 |
Author:venkat |
Hits:
Description: Inter-symbol interference if not taken care off may
cause severe error at the receiver and the detection of signal becomes
difficult. An adaptive equalizer employing Recursive Least Squares
algorithm can be a good compensation for the ISI problem. In this
paper performance of communication link in presence of Least Mean
Square and Recursive Least Squares equalizer algorithm is analyzed.
A Model of communication system having Quadrature amplitude
modulation and Rician fading channel is implemented using
MATLAB communication block set. Bit error rate and number of
errors is evaluated for RLS and LMS equalizer algorithm, due to
change in Signal to Noise Ratio (SNR) and fading component gain in
Rician fading Channel. Platform: |
Size: 400384 |
Author:pravin jadhav |
Hits:
Description: 基于lms算法的干扰自适应抵消LMS算法是基于最陡下降法的统计估计的最小均方值算法，令误差的均方值达到最小时的抽头系数的值即为最优解。LMS算法抽头系数w的变化方向为代价方程的负梯度方向。-Lms algorithm based on adaptive interference cancellation algorithm is the LMS steepest descent method based on statistical estimation of the least mean square algorithm, so that the mean square error to achieve the most hours of the tap coefficient value is the optimal solution. LMS algorithm for tap coefficient w, the cost equation changes in the direction of the negative gradient direction. Platform: |
Size: 4096 |
Author:ct |
Hits:
Description: It is a matlab code which simulates normalized least mean square (nlms) algorithm. Can be run in matlab 2007 or higher. Platform: |
Size: 1024 |
Author:Sambhar |
Hits:
Description: 介绍了一种基于最小均方算法(LMS 算法) 的自适应均衡器的原理与结构，针对用硬件实现LMS算法的自适应均衡器存在的诸多缺点，运运用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与与精度进行仿真，并介绍了该仿真程序源码。 可直接使用。
-Based on the principle and the structure of the adaptive equalizer in the least mean square algorithm (LMS algorithm) for the many shortcomings in the hardware implementation of the LMS algorithm adaptive equalizer, operation and use of MATLAB tool on various structural forms of self- adapt the equalizer convergence rate under different channel models and the accuracy of the simulation, the simulation program source code. Can be used directly. Platform: |
Size: 191488 |
Author:despise |
Hits:
Description: 在matlab环境中自动识别连通区域的大小,最小均方误差（MMSE）的算法，包括最小二乘法、SVM、神经网络、1_k近邻法。- Automatic identification in the matlab environment the size of the connected area, Minimum mean square error (MMSE) algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method. Platform: |
Size: 6144 |
Author:李小生 |
Hits:
Search - least mean square algorithm in matlab