搜索资源列表
rrrrLMS_Equalizer
- RLS算法,用matlab实现,用自适应算法来实现均衡,程序正确-RLS algorithm, using matlab to achieve, with an adaptive algorithm to achieve a balanced and correct procedures
666616psk
- RLS算法,用matlab实现,用自适应算法来实现均衡,程序正确-RLS algorithm, using matlab to achieve, with an adaptive algorithm to achieve a balanced and correct procedures
RLS_LMS
- 关于自适应滤波,均衡算法的几个M程序,采用的算法分别是LMS,NLMS,RLS-several matlab programs are about adaptive filter and equalization for communication system. The algorithm is LMS, NLMS and RLS.
adaptive-equalizer-
- 本篇论文在对无线通信信道进行研究的基础上,阐述了信道产生码间干扰的原因以及无码间干扰的条件,介绍了奈奎斯特第一准则和时域均衡的原理。深入研究了均衡器的结构和自适应算法,在均衡器的结构中主要介绍了4种自适应均衡器结构即线性横向均衡器、线性格型均衡器、判决反馈均衡器和分数间隔均衡器,并对这几种结构进行了比较。对于系数调整算法主要介绍了常用的几种算法,包括LMS算法、RLS算法以及盲均衡常用的恒模算法(CMA),并讨论了它们各自的优缺点。最后选用线性横向均衡器结构与上述3种系数调整算法,利用MATLA
levinson
- 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
Equalizer
- 将自适应信号处理中的RLS和LMS算法应用到信道均衡中去,用对比图和眼图研究性能。-Adaptive signal processing RLS and LMS algorithm is applied to channel equalization go, with comparison chart and eye research performance.
digital-equalizer-Verilog
- 硕士论文。主要包括:1、均衡器的设计原理 2、码间串扰与均衡原理 3、自适应均衡算法,主要介绍迫零算法、LMS算法、RLS算法 4、LMS自适应均衡器的Verilog设计 5、以上算法的matlab仿真-Master thesis. The main contents are as follows: 1, the design principle of the equalizer 2, intersymbol interference (ISI) and equilibrium principl
CMA_Algorithm
- 使用常模算法实现通信信号的盲均衡,具体算法有CMA算法、RLS-CMA算法,以及改进软法MRLS-CMA算法-The use of constant modulus algorithm for blind equalization of communication signals, the specific algorithm has CMA algorithm, RLS-CMA algorithm, as well as improved soft MRLS-CMA algorithm