搜索资源列表
LMS_Equalizer
- simulation of LMS Equalizer
f_lms
- 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 inte
2-LMS-equalizer
- 假设每个延时单元延时10ms.被传输的基带信号x(t)是一个0，1交替变换的矩形二进制脉冲序列，脉宽为10ms，并假设x(t)通过一个稳定的散射信道后才到达均衡器，成为2径信号，这两路信号幅度相等 ，相隔15ms。用MATLAB实现一个2级LMS均衡器-equalizer
222
- MIMO频率选择性信道自适应均衡，有matlab源码-MIMO frequency selective channel adaptive equalizer
Channel_Estimation
- 使用OFDM的信道估计，采用迫零均衡，进行频域单抽头均衡-Using OFDM channel estimation, zero forcing equalization algorithm, the frequency domain one-tap equalizer
equa
- 以编程的方式实现信道自适应均衡器的仿真模型！-Programmatically achieve adaptive channel equalizer simulation model!
week9_adapt_eq
- 写一个MATLAB程序来解这些强迫归零均衡器的系数，求出并画出这个归零均衡器的50个采样值的输出。-Coefficient to write a MATLAB program to solve the zero forcing equalizer, calculate and draw the zero equalizer 50 sampling value output
exp5_8_537
- a learning file for BF537 ezkit graphical equalizer. This is the book Embedded Digital Signal Processing-a learning file for BF537 ezkit graphical equalizer. This is the book Embedded Digital Signal Processing