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gwmcmc.zip - gwmcmc is an implementation of the Goodman and Weare 2010 Affine invariant ensemble Markov Chain Monte Carlo (MCMC) sampler. MCMC sampling enables bayesian inference. The problem with many traditional MCMC samplers is that they can have slow convergence for badly scaled problems, and that it is difficult to optimize the random walk for high-dimensional problems. This is where the GW-algorithm really excels as it is affine invariant. It can achieve much better convergence on badly scaled problems. It is much simpler to get to work straight out of the box, and for that reason it truly deserves to be called the MCMC hammer.,2019-11-20 10:08:32,下载0次

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VMD.zip - 用matlab实现变分模态分解算法，有效分解信号
cotm2.rar - 计算齿轮箱阶次跟踪，可得到角度域信息，绘制阶次谱

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