搜索资源列表
LMS_Equalizer
- 线性MMSE均衡器的matlab源码,适应信道衰减不是很剧烈的情况-linear MMSE equalizer in Matlab source, adaptation channel attenuation is not very dramatic situation
LMS-auto-adapter-fiter
- 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 process
RLS-auto-adapter-fiter
- 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 process
BER_Equators
- Adaptive Filter. This scr ipt shows the BER performance of several types of equalizers in a static channel with a null in the passband. The scr ipt constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It
linear-DFE-MLSE-Equalizer
- Matlab程序，用于比较线性均衡器、判决反馈均衡器(DFE)、盲最大似然序列估计均衡器(MLSE)等误码率性能。-Matlab procedures used to compare the linear equalizer, decision feedback equalizer (DFE), Blind maximum likelihood sequence estimation equalizer (MLSE), such as bit error rate performance.
zishiyingjunheng
- This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowled
chengxu6
- 有关带限信道的数字传输matlab程序--码间干扰的特性，线性和非线性均衡器。-On the band-limited digital transmission channel matlab program- inter-symbol interference characteristics, linear and nonlinear equalizers.
linear-DFE-MLSE-Equalizer
- MATLAB 仿真MLSE，DFE，FFE均衡效率比较。-MATLAB simulation of MLSE, DFE, FFE balance efficiency comparisons.
ZFE
- This files simulate the linear equalizer which is (Zero Forcinf Equlizer)
Codes
- The main code is called "comparison of equalization schemes". It uses functions, defined seperately to compute the bit error rate for different typs of equalizers. That means times domain equalizer (TDE) with minimum mean square (MMSE) and zero
AddedChannelequalizationAWGNnoiseeffects
- have further added a very simple Linear Equalizer to the code, where I assume that the channel is perfectly known. Note that for equalization to work here, the prefix length must be equal to or greater than the length of the channel.
junheng
- 项目采用matlab对强迫零均衡器、最小均方误差均衡器、自适应线性均衡器进行了编程实现，并给出了计算机的仿真结果以及对仿真结果的分析，最后，给出递归最小二乘准则下的均衡器仿真予以比较。-Forced to zero on the project using matlab equalizer, minimum mean square error equalizer, adaptive linear equalizer is programmed to achieve, and gives the
equalizer
- matlab实现线性mmse均衡器，代码实用-the linear mmse equalizer matlab code utility