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基于压缩感知的OFDM下的信道估计，与传统算法LS，MMSE的比较-Based on compressed sensing OFDM channel estimation under, with the traditional algorithm LS, MMSE comparison
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OFDM channel estimation algorithm for compressed sensing based on SAMP algorithm
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the Compressed Sensing (CS) methods in general and analyze the performance of Compressive Channel Estimation (CCE). CCE is an application of the theory and methodology of CS to the problem of estimating doubly selective channels in multicarrier syste
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the Compressed Sensing (CS) methods in general and analyze the performance of Compressive Channel Estimation (CCE). CCE is an application of the theory and methodology of CS to the problem of estimating doubly selective channels in multicarrier syste
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表示出两帧图像间各个像素点的相对情况，VxKHNdo参数用MATLAB实现的压缩传感，有信道编码，调制，信道估计等，一个很有用的程序，jdeLeQp条件相关分析过程的matlab方法，基于SVPWM的三电平逆变的matlab仿真。- Between two images showing the relative circumstances of each pixel, VxKHNdo parameter Using MATLAB compressed sensing, Channel codi
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单径或多径瑞利衰落信道仿真，用MATLAB实现的压缩传感，加入重复控制，鲁棒性好，性能优越，一种噪声辅助数据分析方法,基于互功率谱的时延估计。- Single path or multipath Rayleigh fading channel simulation, Using MATLAB compressed sensing, Join repetitive control, Robustness, superior performance, A noise auxiliary data a
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基于多输入多输出的正交频分复用的压缩感知稀疏信道的估计算法-An estimation algorithm for compressed sensing sparse channel based on multiple input multiple output orthogonal frequency division multiplexing
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Millimeter wave (mmWave) systems will likely employ directional beamforming with large antenna arrays at both the
transmitters and receivers. Acquiring channel knowledge to
design these beamformers, however, is challenging due to the
large antenna
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基于压缩感知的MASSIVE MIMO信道估计，采用OMP算法解决稀疏信道估计问题。MASSIVE MIMO多小区多用户模型，合成稀疏信道（有效解决导频污染）。(Based on compressed sensing for MASSIVE MIMO channel estimation, OMP algorithm is used to solve the sparse channel estimation problem. MASSIVE MIMO multi cell and multi-
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