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MatlabCoorelatedRV

于 2020-11-27 发布文件大小:5KB

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通信理论分析中，产生Nakagami-m 变量的随机数，并与理论PDF和CDF比较，以及第N个最大的Nakagami-m变量的仿真与理论PDFCDF的验证(he random numbers that produce the Nakagami-m variables are compared with the theoretical PDF and CDF, and the Nth Max and PDF/CDF of the largest Nakagami-m variables are verified by simulation and theory.)

文件列表：

NakaRandomTest.m
NmaxCorreGammaRayTest.m
NmaxGammaPDFanla728.m
NmaxGammaTest.m
GammaPDFtest.m

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ofdm
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TRAINDIFFEVOL(NET,Pd,Tl,Ai,Q,TS,VV) takes these inputs, NET - Neural network. Pd - Delayed input vectors. Tl - Layer target vectors. Ai - Initial input delay conditions. Q - Batch size. TS - Time steps. VV - Either empty matrix [] or structure of validation vectors. and returns, NET - Trained network. TR - Training record of various values over each epoch: TR.epoch - Epoch number. TR.perf - Training performance. TR.vperf - Validation performance. TR.tperf - Test performance. TR.mu - Adaptive mu value.

2013-04-22 06:17:04下载

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2013-12-19 10:35:02下载

积分：1

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MatlabCoorelatedRV

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