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对于多输入多输出系统, 传统的基于训练序列的信道辨识方法为跟踪信道的变化, 必须
发送大量冗余信息, 传输效率较低 而基于子空间的纯盲方法又带有不可避免的模糊性, 辨识结果
精度不够。在子空间法的基础上, 利用少量训练符号估计出模糊矩阵, 以此矫正子空间法得到的结
果。仿真结果显示: 在保证辨识精度的前提下, 该方法减少了训练符号等冗余, 提高了传输效率。-In o rder to t rack the channel variat ion of MIMO OFDM
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使用高阶累积量完成单载波和OFDM信号的的识别，对不同信噪比情况下进行了仿真，有不错的效果-Using higher order cumulants to complete the identification of single carrier signal and OFDM signal, the simulation of different signal-to-noise ratio, has a good effect
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MIMO OFDM matlab simulation, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Nonlinear discrete system identification.
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Based on wavelet transform digital watermarking algorithm matlab code, MIT Artificial Intelligence Laboratory identification of the target source, It uses a pulse of consumer law.
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Numerical solution of differential equations method, Automatic identification in the matlab environment the size of the connected area, Partially achieved tracking speed iterative relaxation algorithm.
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