Description: Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. Platform: |
Size: 134537 |
Author:zhang |
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Description: 对线性均衡、判决反馈均衡和最大似然序列估计均衡等三种方法的实现和误码率的分析。-Of linear balanced, decision feedback equalizer and maximum likelihood sequence estimation of three methods such as balanced realization and BER analysis. Platform: |
Size: 101376 |
Author:冯巍 |
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Description: 在无线通信中，存在着严重的多径现象，能够引起严重的ISI。判决反馈均衡器（DFE）是目前最常用的一种消除ISI的均衡器。本程序使用Matlab实现的QPSK下的DFE。-In wireless communication, there is a serious multi-path phenomenon, can cause severe ISI. Decision feedback equalizer (DFE) is the most commonly used in an equalizer to eliminate the ISI. This procedure using Matlab under QPSK realize the DFE. Platform: |
Size: 8192 |
Author:张祥 |
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Description: Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. -Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. Platform: |
Size: 134144 |
Author:zhang |
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Description: 描述了一个用于微波传输设备的16QAM接收机解调芯片的FPGA实现,芯片集成了定时恢复、载波恢复和自适应盲判决反馈均衡器(DFE),采用恒模算法(CMA)作为均衡算法。芯片支持高达25M波特的符号速率,在一片EP1C12Q240C8(ALTERA)上实现,即将用于量产的微波传输设备中。
-Describes a microwave transmission equipment for 16QAM receiver demodulator chip FPGA realization of an integrated chip timing recovery, carrier recovery and blind adaptive decision feedback equalizer (DFE), using constant modulus algorithm (CMA) as the equalization algorithm. Chip supports up to 25M baud symbol rate, in the midst of EP1C12Q240C8 (ALTERA) achieved for the upcoming production of microwave transmission equipment. Platform: |
Size: 281600 |
Author:萝卜 |
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Description: 文章通过仿真比较了线性均衡器和判决反馈均衡器在通信系统中的性能-Comparison of the article through the simulation of linear equalizer and decision feedback equalizer in the communication system performance Platform: |
Size: 391168 |
Author:王云峰 |
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Description: 本文介绍了OFDM系统中一种基于训练引导的判决反馈均衡技术-This paper introduces the OFDM system, a training guide based on the decision feedback equalizer technology Platform: |
Size: 873472 |
Author:王云峰 |
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Description: 基于Matlab，采用判决反馈均衡器对信号进行均衡的仿真程序-Based on Matlab, the use of decision feedback equalizer for the signal-balanced simulation program Platform: |
Size: 384000 |
Author:Navy2008_CHINA |
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Description: 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. Platform: |
Size: 148480 |
Author:yyc |
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Description: 本演示程序分别就线性，判决反馈，和最大似然估计均衡器的进行了误码率性能仿真。-This demo program in respect of linear, decision feedback, and the maximum likelihood estimation equalizer BER performance simulation carried out. Platform: |
Size: 102400 |
Author:miaoyi |
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Description: 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 Platform: |
Size: 6144 |
Author:Sokolov |
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Description: 。本文研究了SC-FDE系统中的最小均方误差判决反馈
均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法，
MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟
踪信道变化并更新均衡器的抽头系数，其性能略优于最小
均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback
Equalization (MMSE-DFE) and criteria based on LMS adaptive equalization algorithms
MATLAB simulation results show that LMS adaptive equalization algorithm as effective with
Track changes and update the channel equalizer tap coefficients, its performance slightly better than the minimum
Mean square error decision feedback equalization algorithm. Platform: |
Size: 3706880 |
Author:姜烨 |
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Description: This program allows the application of the Decision Feedback equalizer by lms adaptive algorithm Platform: |
Size: 2048 |
Author:Toto |
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Search - Decision Feedback Equalizer