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8FSK

于 2021-05-13 发布 文件大小:7KB
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下载积分: 1 下载次数: 150

代码说明:

  8FSK系统,波形生成,相干解调,非相干解调等(8FSK systems, waveform generation, coherent detection, non-coherent demodulation, etc.)

文件列表:

8FSK
....\bajinzhi.m,209,2009-05-19
....\baoluo.m,517,2009-05-24
....\BPF8.asv,476,2010-05-09
....\BPF8.m,465,2010-05-09
....\feixiangganjietiao.asv,2126,2009-05-31
....\feixiangganjietiao.m,2115,2010-05-08
....\fsk8_tiaozhi.m,1921,2009-05-24
....\get_single.m,1127,2010-05-08
....\quyu8.m,51,2009-05-19
....\xiangganjietiao.asv,1915,2009-05-31
....\xiangganjietiao.m,2019,2009-05-31

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  • dea
    本代码是王岩数理统计与MATLAB工程数据分析一书的所有源代码。特点着重基础、强化应用、便自学,是工程数据分析一本很好的书,代码说明也较为详细,本人极力推荐!(This code is WangYan mathematical statistics and data analysis of the MATLAB project book all the source code. Based on characteristics, strengthening the application, and self-study, engineering data analysis is a very good book, code and a more detailed instructions, I highly recommend!)
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    (1) 本系统用到四种神经网络对漏电嫌疑系数进行预测,分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络,通过对神经网络结构参数的设置和调试,可以得到很好的预测效果,实际值和预测值之间的误差能达到5 以内。 (2) 本系统使用matlab做GUI界面,在界面上就可以分别对这四种神经网络的结构参数进行设置,从而可以调整神经网络的结构,达到较好的预测精度。 ((1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values ​ ​ of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.)
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