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Description: Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved．
Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer
simulation results show that this algorithm converges more quickly than the origina1．Furthermore，better antinoise
property is exhibited under Low—SNR environment than the original one．-variable step size of a LMS daptive filtering are studied. The VS-LMS algorithm is improved. Another new non-linear function between anus and e (/ t) is established. The theoretic analysis and computer simulatio n results show that this algorithm converges mo 're quickly than the origina1. Furthermore, better antinoise property is exhibited under L ow - SNR environment than the original one.
Platform: |
Size: 3701 |
Author: 上将 |
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Description: MMSE的LMS收敛特性仿真，训练点10000，SNR（-5到20），效果较好-MMSE LMS convergence characteristics of simulation, training 10,000 points, SNR (-5 to 20), better effect
Platform: |
Size: 1601 |
Author: mi_kenny |
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Description: Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved．
Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer
simulation results show that this algorithm converges more quickly than the origina1．Furthermore，better antinoise
property is exhibited under Low—SNR environment than the original one．-variable step size of a LMS daptive filtering are studied. The VS-LMS algorithm is improved. Another new non-linear function between anus and e (/ t) is established. The theoretic analysis and computer simulatio n results show that this algorithm converges mo 're quickly than the origina1. Furthermore, better antinoise property is exhibited under L ow- SNR environment than the original one.
Platform: |
Size: 3072 |
Author: 上将 |
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Description: MMSE的LMS收敛特性仿真，训练点10000，SNR（-5到20），效果较好-MMSE LMS convergence characteristics of simulation, training 10,000 points, SNR (-5 to 20), better effect
Platform: |
Size: 1024 |
Author: mi_kenny |
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Description: LMS自适应均衡仿真程序,多级抽头,有信噪比条件-LMS adaptive equalizer simulation program, multi-level tap, has SNR
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Size: 4096 |
Author: 袁峰 |
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Description: 上传几个关于线阵RLS算法、圆阵LMS算法、矩形波以及SNR的matlab源代码，都可以出图，希望对大家有用！请点击我的账户名。-From a few RLS algorithm on the linear array, circular array LMS algorithm, as well as the SNR of the rectangular wave matlab source code, can be a diagram, useful for all of us hope! Please click my account name.
Platform: |
Size: 1024 |
Author: 刘秦 |
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Description: 上传几个关于线阵RLS算法、圆阵LMS算法、矩形波以及SNR的matlab源代码，都可以出图，希望对大家有用！-From a few RLS algorithm on the linear array, circular array LMS algorithm, as well as the SNR of the rectangular wave matlab source code, can be a diagram, useful for all of us hope!
Platform: |
Size: 1024 |
Author: 刘秦 |
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Description: 上传几个关于线阵RLS算法、圆阵LMS算法、矩形波以及SNR的matlab源代码，都可以出图，希望对大家有用！-From a few RLS algorithm on the linear array, circular array LMS algorithm, as well as the SNR of the rectangular wave matlab source code, can be a diagram, useful for all of us hope!
Platform: |
Size: 1024 |
Author: 刘秦 |
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Description: 上传几个关于线阵RLS算法、圆阵LMS算法、矩形波以及SNR的matlab源代码，都可以出图，希望对大家有用！-From a few RLS algorithm on the linear array, circular array LMS algorithm, as well as the SNR of the rectangular wave matlab source code, can be a diagram, useful for all of us hope!
Platform: |
Size: 1024 |
Author: 刘秦 |
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Description: 上传几个关于线阵RLS算法、圆阵LMS算法、矩形波以及SNR的matlab源代码，都可以出图，希望对大家有用！-From a few RLS algorithm on the linear array, circular array LMS algorithm, as well as the SNR of the rectangular wave matlab source code, can be a diagram, useful for all of us hope!
Platform: |
Size: 1024 |
Author: 刘秦 |
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Description: 各种信噪比估计算法，包括ls，lms，qam，噪声统计等-A variety of SNR estimation algorithms, including ls, lms, qam, noise statistics, etc.
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Size: 10240 |
Author: lulu |
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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.
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Size: 400384 |
Author: pravin jadhav |
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Description: clear all
clc
t=0:1/1000:10-1/1000
s=sin(2*pi*t)
snr=20
s_power=var(s) varience of s
linear_snr=10^(snr/10)
factor=sqrt(s_power/linear_snr)
noise=randn(1,length(s))*factor
x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù
x1=noise Ô ë É ùÔ ´ Ê ä È ë
x2=noise
w1=0 È ¨Ï µ Ê ý ³ õ Ö µ
w2=0
e=zeros(1,length(x))
y=0
u=0.05
for i=1:10000 LMSË ã ·¨
y(i)=w1*x1(i)+w2*x2(i)
e(i)=x(i)-y(i)
w1=w1+u*e(i)*x1(i)
w2=w2+u*e(i)*x2(i)
end
figure(1)
subplot(4,1,1) -clear all
clc
t=0:1/1000:10-1/1000
s=sin(2*pi*t)
snr=20
s_power=var(s) varience of s
linear_snr=10^(snr/10)
factor=sqrt(s_power/linear_snr)
noise=randn(1,length(s))*factor
x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù
x1=noise Ô ë É ùÔ ´ Ê ä È ë
x2=noise
w1=0 È ¨Ï µ Ê ý ³ õ Ö µ
w2=0
e=zeros(1,length(x))
y=0
u=0.05
for i=1:10000 LMSË ã ·¨
y(i)=w1*x1(i)+w2*x2(i)
e(i)=x(i)-y(i)
w1=w1+u*e(i)*x1(i)
w2=w2+u*e(i)*x2(i)
end
figure(1)
subplot(4,1,1)
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Size: 1024 |
Author: dasu |
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Description: THis transceiver system simulation to display ber vs SNR. TRansceiver is about BER comparison between LMS-RLS and MLSE receiver to invers the rayleigh fading channel. The content of system is modulation, pilot adder, awgn and rayleigh fading channel, pilot removal and channel estimation and equalization by 3 method (LMS-MLSE-RLS) and demodulation.-THis is transceiver system simulation to display ber vs SNR. TRansceiver is about BER comparison between LMS-RLS and MLSE receiver to invers the rayleigh fading channel. The content of system is modulation, pilot adder, awgn and rayleigh fading channel, pilot removal and channel estimation and equalization by 3 method (LMS-MLSE-RLS) and demodulation.
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Size: 126976 |
Author: gelar |
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Description: This paper investigates the Wiener and least
mean square (LMS) algorithms in the design of traversal tap
delay line filters for the purpose of compensating the effect of
the communication channel. The designed equalizers remove
the distortion caused by the channel from the transmitted
signal without requiring any specific model or state-space
information. The first approach is based on the a recursive
Wiener filtering procedure and is designed using the Wiener-
Hopf equation. On the other hand, the second approach uses
the LMS algorithm and investigates the effect of different
step sizes on the speed of the conversion and the accuracy of
the overall algorithm. Simulation results are presented and
both schemes are compared under different distortion levels
and signal to noise ratio(SNR) values via impulse response,
frequency response and ABER simulations.
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Size: 10759168 |
Author: nagarjun |
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Description: 图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应：
式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线):
1）横向/格-梯型结构LMS算法
2）横向/格-梯型结构RLS算法
并分析其结果。-Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response:
Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate):
1) landscape/grid- LMS algorithm ladder structure
2) landscape/grid- RLS algorithm ladder structure
And analyze the results.
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Size: 3072 |
Author: 李丽红 |
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Description: 信噪比=20，迭代步长=0.035，本次程序设计还是验证了RLS比LMS收敛快的效果。-SNR = 20, iteration step = 0.035, this program is designed to verify the RLS faster than the LMS convergence effect.
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Size: 1024 |
Author: heizitai |
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Description: 变步长自适应滤波算法，对VS—LMS算法进行了改进，建立了步长因子μ与误差信号e（n）之间另一种新的非线性函数关系．理论分析和计算机仿真结果表明，该关系不仅具有原有算法收敛速度快的优点，而且在低信噪比环境下比原有算法具有更好的抗噪声性能．-The variable step size adaptive filtering algorithm is discussed, and the VS-LMS algorithm is improved. A new nonlinear function relation between the step size factor μ and the error signal e (n) is established. Theoretical analysis and computer simulation results show that the proposed algorithm not only has the advantages of high convergence speed of the original algorithm, but also has better anti- noise performance in the low SNR environment than the original algorithm.
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Size: 1024 |
Author: 曹展宏 |
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