Description: 此程序可实现基于LMS(最小均方误差算法)的自适应滤波程序-this procedure can be based on the LMS (least-mean-square error algorithm) adaptive filtering process Platform: |
Size: 1024 |
Author:尚云超 |
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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 |
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Description: This program simulates plant identification least mean square (NLMS) alogrithm
reference: 《LMS算法的频域快速实现》-This program simulates plant identification least mean square (NLMS) alogrithm reference: LMS algorithm for rapid realization of the frequency domain Platform: |
Size: 1024 |
Author:huangsir |
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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 |
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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: 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 |
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Description: 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。-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: 47104 |
Author:jj |
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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 |
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Description: this is a code for adaptive interfrence cancellation on a certain signal using the least mean square algorithm LMS using matlab.-this is a code for adaptive interfrence cancellation on a certain signal using the least mean square algorithm LMS using matlab. Platform: |
Size: 2048 |
Author:kareemelattar |
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Description: 采用一种快速收敛变步长LMS(Least mean square ) 自适应最小均方算法matlab源程序,其中算法所做的工作是用FIR 滤波器的预测系统,对IIR系统进行预测,如果阶数越高越能逼近被预测系统。-Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is the work done by FIR prediction filter systems, prediction of IIR systems, if the higher order the more it can be prediction system approximation. Platform: |
Size: 1024 |
Author:杨思科 |
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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 |
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