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关于自适应滤波的一系列程序,包括二进制信道均衡,噪声对消,信号增强等,斑竹,该加精了吧?-adaptive filter on a series of procedures, including binary channel equalization and noise cancellation and signal enhancement, fed, the rate is honed?
Update : 2025-02-17 Size : 36kb Publisher : gjd

一种盲均衡算法的matlab仿真程序 信道为多经信道-a blind equalization algorithm Matlab simulation program for multi-channel by channel
Update : 2025-02-17 Size : 1kb Publisher : overtone

DL : 0
RAKE接收机的仿真代码,对研究接收机,信道均衡,预RAKE有帮助-RAKE receiver simulation code, the study of the receiver, channel equalization, pre-RAKE help
Update : 2025-02-17 Size : 25kb Publisher : 翟俊昌

DL : 0
一种用于信道均衡的盲均衡恒模算法,具有较好的ISI和较快的收敛速度-One for channel equalization of constant modulus blind equalization algorithm, the ISI has a good and fast convergence rate
Update : 2025-02-17 Size : 1kb Publisher : zf

LMS自适应信道均衡程序以及学习曲线绘制,程序为matlab代码。-LMS adaptive channel equalization process and the learning curve drawing, procedures for the matlab code.
Update : 2025-02-17 Size : 1kb Publisher : 游月辉

RLS自适应信道均衡源代码和绘制学习曲线程序。用matlab编写。-RLS adaptive channel equalization source code and mapping procedures the learning curve. Prepared using matlab.
Update : 2025-02-17 Size : 1kb Publisher : 游月辉

DFE信道均衡算法及学习曲线绘制程序。程序为matlab代码。-DFE channel equalization algorithm and the learning curve drawing program. Procedures for the matlab code.
Update : 2025-02-17 Size : 1kb Publisher : 游月辉

reigh信道环境下OFDM&MIMO技术的MATLAB代码实现-environment reigh channel OFDM & MIMO technology MATLAB code implementation
Update : 2025-02-17 Size : 11kb Publisher : 刘伟

MIMO in a Rayleigh fading channel using zero-forcing equalization.
Update : 2025-02-17 Size : 1kb Publisher : Quy

DL : 0
MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems.
Update : 2025-02-17 Size : 1kb Publisher : amr

DL : 0
MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems.
Update : 2025-02-17 Size : 2kb Publisher : amr

DL : 0
MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems.
Update : 2025-02-17 Size : 1kb Publisher : amr

DL : 0
MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems.
Update : 2025-02-17 Size : 1kb Publisher : amr

DL : 0
MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems.
Update : 2025-02-17 Size : 2kb Publisher : amr

基于互谱的盲信道辨识与均衡.单输入两输出情况(两接收天线).支持M-PAM、QAM两种调制方式 -Cross-Spectrum Based Blind Channel Identification and Equalization: Methodology and MATLAB Code
Update : 2025-02-17 Size : 11kb Publisher : 倪浩

MIMO信道均衡的matlab代码,可以直接使用。-code with matlab format for channel MIMO equalization.
Update : 2025-02-17 Size : 1kb Publisher : zhwx

DL : 0
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 forcing (ZF) algorithm,time domain decision feedback equalizer (DF_TDE) and linear frequency domain equalizer (FDE) with MMSE and ZF algorithms are used.For all simulations QPSK symbols and a tapped delay line channel with white gaussian noise are used. Allthough the codes should be regarded as one package every single function can be of good use for other simulations. With best regards, Andreas
Update : 2025-02-17 Size : 6kb Publisher : Sokolov

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.
Update : 2025-02-17 Size : 12kb Publisher : ibrahim

DL : 1
hi this methods for channel estimation and equalization &adaptive equalization, blind adaptive equalization (CMA)&Rake receiver for CDMA
Update : 2025-02-17 Size : 11kb Publisher : alirashedi

DL : 0
this single input multiple output channel estimation and equalization matlab code.-this is single input multiple output channel estimation and equalization matlab code.
Update : 2025-02-17 Size : 1kb Publisher : Thomas Work
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