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使用高阶累积量对MPSK信号进行识别

于 2018-03-21 发布 文件大小:5KB
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  使用高阶累积量对MPSK信号进行调制识别,单径或多径瑞利衰落信道仿真,有较好的参考价值,数值分析的EULER法,采用了小波去噪的思想,可以实现模式识别领域的数据的分类及回归。(High order cumulants are used to modulate and identify MPSK signals. The simulation of single path or multipath Rayleigh fading channels has a good reference value. The EULER method of numerical analysis adopts the idea of wavelet denoising, which can realize data classification and regression in the field of pattern recognition.)

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使用高阶累积量对MPSK信号进行识别.txt, 9216 , 2018-03-07

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