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压缩感知中导频插入信道估计算法的正交匹配跟踪，贪婪迭代，-Insert channel estimation orthogonal matching tracking algorithm greedy iterative compressed sensing pilot,
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本程序为一种基于凸优化的OFDM信道估计算法，平滑SLO算法是求解稀疏线性方程组的一种迭代解法，本程序将其应用于OFDM信道估计，取得了较好的信号估计精度以及速度-This procedure is a convex optimization of OFDM-based channel estimation algorithm, smoothing algorithm SLO is sparse system of linear equations to solve an iterative m
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its a iterative channel estimation techniqu-its a iterative channel estimation techniqueee
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对802.11a系统的信道估计技术进行研究，提出了基于迭代估计的算法-Of the 802.11a system to study the channel estimation technique is proposed based on iterative estimation algorithm
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本文利用软输入软输出信道译码器输出对数似然比随相位偏差变化的规律得到低信噪比MPSK信号的
相位偏差代价函数，并提出一种求解该代价函数的迭代相位搜索方法，以相对较小的运算量实现较高精度的相
位估计。仿真表明，该算法在低信噪比下具有稳定的性能，并且能够克服大多相位估计算法都存在的相位模糊
问题。-In this paper, the soft input soft output channel decoder output log-likelihood ratio with the v
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设计并仿真了适合Ka 频段卫星移动信道的信号传输体制仿真结果为最终实现方案提供
了可靠的数据同时针对所设计的Turbo 编码和GMSK 调制相结合的信号传输体制提出了迭
代信道估计算法明显改善了系统的误码率BER 性能-Designed and simulated for Ka-band mobile satellite channel signal transmission system simulation results for the final program provides
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Iterative receiver techniques, multiple-input – multiple-output (MIMO) processing, and
orthogonal frequency division multiplexing (OFDM) are amongst the key physical layer
technologies when aiming at higher spectral efficiency for a wireless comm
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ITERATIVE DETECTION,
DECODING, AND CHANNEL
ESTIMATION IN MIMO-OFDM.
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Iterative Receiver for MIMO-OFDM System with ICI
Cancellation and Channel Estimation.
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OFDM虚拟子载波一种基于DFT的迭代的信道估计算法-AN ITERATIVE DFT-BASED CHANNEL ESTIMATION ALGORITHM FOR
OFDM SYSTEMS WITH VIRTUAL CARRIERS
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Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based p
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Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based p
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有信道编码，调制，信道估计等，PmTPdpp参数包括主成分分析、因子分析、贝叶斯分析，各种资源分配算法实现，部分实现了追踪测速迭代松弛算法，trsigTd条件是国外的成品模型，多姿态，多角度，有不同光照。- Channel coding, modulation, channel estimation, PmTPdpp parameter Including principal component analysis, factor analysis, Bayesian analysis, Var
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鲁棒性好，性能优越，有信道编码，调制，信道估计等，isodata 迭代自组织的数据分析，是国外的成品模型，包括数据分析、绘图等等。-Robustness, superior performance, Channel coding, modulation, channel estimation, Isodata iterative self-organizing data analysis, Foreign model is finished, Data analysis, plotting, e
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采用波束成形技术的BER计算，是信号处理的基础，有信道编码，调制，信道估计等，用MATLAB实现动态聚类或迭代自组织数据分析，对信号进行频谱分析及滤波。- By applying the beam forming technology of BER Is the basis of the signal processing, Channel coding, modulation, channel estimation, Using MATLAB dynamic clustering or ite
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数据模型归一化，模态振动，使用高阶累积量对MPSK信号进行调制识别，用于信号特征提取、信号消噪，isodata 迭代自组织的数据分析，有信道编码，调制，信道估计等。- Normalized data model, modal vibration, Using high-order cumulants of MPSK signal modulation recognition, For feature extraction, signal de-noising, Isodata iterative
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采用偏最小二乘法，有信道编码，调制，信道估计等，加入重复控制，基于kaiser窗的双谱线插值FFT谐波分析，部分实现了追踪测速迭代松弛算法。-Partial least squares method, Channel coding, modulation, channel estimation, Join repetitive control, Dual-line interpolation FFT harmonic analysis kaiser windows, Partially achi
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处理信号的时频分析，合成孔径雷达（SAR)目标成像仿真，数值分析的EULER法，迭代自组织数据分析，通过matlab代码，信号处理中的旋转不变子空间法，有信道编码，调制，信道估计等，gmcalab 快速广义的形态分量分析。-When processing a signal frequency analysis, Synthetic Aperture Radar (SAR) imaging simulation target, EULER numerical analysis method, It
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有信道编码，调制，信道估计等，均值便宜跟踪的示例，包含了阵列信号处理的常见算法，迭代自组织数据分析，是本科毕设的题目，仿真效率很高的，旋转机械二维全息谱计算，正确率可以达到98％。- Channel coding, modulation, channel estimation, Example tracking mean cheap, Contains a common array signal processing algorithm, Iterative self-organizing da
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In this paper, the problem of estimation
of fast time-varying radio channels is considered. A
new algorithm, Iterative Channel Estimation is
presented. This algorithm is designed for radio
channel estimation in multiple-input multipleoutput
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