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Superimposed-training
- 叠加训练序列的最小二乘信道估计与最小均方误差均衡,QPSK调制,做了4次迭代估计的性能对比。-superimposed training, least squares (LS) channel estimation, MMSE equalizer, QPSK modulation, 4 times iteration.
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- 通过迭代的方法来计算物质的光学性质,通过最小二乘法来设置收敛的条件,当结果小于收敛条件时,输出结果-Calculate liquid refractive index, using the iteration method, design the smallest error by the least squares method, to terminate the iteration convergence