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matlab生成四种波形的mif文件

于 2019-04-10 发布
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下载积分: 1 下载次数: 12

代码说明:

说明:  matlab生成四种波形的mif文件,供fpga中rom仿真使用(Matlab generates four waveform mif files for use in fpga rom emulation)

文件列表:

matlab生成四种波形的mif文件,供fpga中rom仿真使用, 0 , 2019-04-10
matlab生成四种波形的mif文件,供fpga中rom仿真使用\fangbo.mif, 2012 , 2019-03-28
matlab生成四种波形的mif文件,供fpga中rom仿真使用\generate_fangbo_mif.m, 433 , 2019-03-28
matlab生成四种波形的mif文件,供fpga中rom仿真使用\generate_juchi_mif.m, 366 , 2019-03-28
matlab生成四种波形的mif文件,供fpga中rom仿真使用\generate_sanjiaobo_mif.m, 441 , 2019-03-28
matlab生成四种波形的mif文件,供fpga中rom仿真使用\juchibo.mif, 2158 , 2019-03-28
matlab生成四种波形的mif文件,供fpga中rom仿真使用\sanjiaobo.mif, 2158 , 2019-03-28
matlab生成四种波形的mif文件,供fpga中rom仿真使用\sin.mif, 2124 , 2019-03-28
matlab生成四种波形的mif文件,供fpga中rom仿真使用\test.m, 413 , 2019-03-28
matlab生成四种波形的mif文件,供fpga中rom仿真使用\注.txt, 168 , 2019-04-10

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    In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )
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