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OFDM系统中的信道估计和均衡使用反向传播神经网络。-Channel estimation and equalization using backpropagation neural networks in OFDM systems.
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程序详细地介绍了OFDM系统中导频信号信道估计的作用，适用于快衰落信道，能够快速跟踪均衡信道，同时包含一个详细介绍算法（LS MMSE）的算法文档。-Procedures described in detail in the pilot signal OFDM system channel estimation role for fast fading channels, fast track channel equalization, and contains a detailed algor
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WIMAX_WZ_withencoding:信道估计，相位噪声补偿，频偏估计，编解码都有
WIMAX_WZ_withoutencoding：在上面的工程基础上，去掉编解码部分
WIMAX_WZ_withoutprocessing：在上面的工程基础上，再去掉相位噪声补偿，频偏估计
WIMAX_WZ_withoutprocessing2：在上面的工程基础上，改用新的前导和导频联合信道估计方案,参考文档《基于802_16d标准的OFDM信道估计技术的研究与实现.kdh》
因为白噪
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ML detection for mimo ofdm
scr ipt for computing the BER for BPSK modulation in a
Rayleigh fading channel with 2 Tx, 2Rx MIMO channel
Maximum Likelihood equalization
-ML detection for mimo ofdm
scr ipt for computing the BER for BPSK modu
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frequency division multiplexing (OFDM) is used extensively in broadband wired and wireless communication systems because it is an effective solution to intersymbol interference (ISI) caused by a dispersive channel. This becomes increasingly important
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basic concept of OFDM is quite simple [4]–[7]. Data is transmitted in parallel on a number of different frequencies, and
as a result the symbol period is much longer than for a serial
system with the same total data rate. Because the symbol perio
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A subspace-based blind method is proposed for estimating
the channel responses of a multiuser and multiantenna orthogonal
frequency division multiplexing (OFDM) uplink system.
It gives estimations to all channel responses subject to a scalar ma
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搭建了一个在有高斯白噪声与瑞利衰落共同存在的信道下的OFDM 发送接受系统，研究了信道均衡技术，与相关的误码率曲线-OFDM has a built in white Gaussian noise and Rayleigh fading channels under the co-existence of the sending and receiving systems, channel equalization technology research, and related BER cur
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在OFDM系统中用LMS信道均衡技术的研究，验证过，代码可用-equalization in OFDM system in lms
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Time Reversal with Post-Equalization for OFDM without CP in Massive MIMO
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