We study the long time behaviour of a nonlinear oscillator subject to a random multiplicative noise with a spectral density (or power-spectrum) that decays as a power law at high frequencies. When the dissipatio
Random noise vs. White/Gaussian noiserand() is a MATLAB random number generator. It generates random variables that follow a uniform probability distribution. randn() generates random numbers that follow a Gaussian distribution.
error;第二种考虑概率,目标是maximize某个probability(比如MLE maximizes log likelihood,即max probability of data given parameter,算是把data看成有概率的而parameter是确定性的;MAP maximizes a posterior是max prob of parameter given data,考虑的是后验概率,明显的贝叶斯思想,一切、包括参数在内、都是random的)...
Finally, compared to the random field models described in previous sections, these block based Gaussian mixture model may seem “incomplete” — providing only the marginal PDFs but not the joint PDF of the entire field, p(x). This issue can be resolved in two steps: first, we can find ...
applied sciences Article Modified Structures for Hybrid Active Sound Quality Control System Disturbed by Gaussian Random Noise † Shanjun Li, Guoyong Jin *, Xiaobo Li and Tiangui Ye College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China; lishanjun98@163.com ...
先来看一个简单情况,不考虑random error term,也就是假设y=f(x)。Gaussian process的定义上就是说从这个随机过程任意取一些随机变量,他们服从多维正太分布,换句话说,f(x) 服从一个多维正太分布,f(x*)服从一个多维正太分布,(f(x)’,f(x*)’)’仍然服从多维正太分布,然后呢,多维正太分布有一个非常好的...
For this work, we have employed random linear algebra (RLA). More specifically, we have implemented the method presented in19. Since we are training the GP via Markov-Chain Monte-Carlo the random noise induced by RLA won’t affect the training. As we move to more deterministic optimizers, ...
2022 TGRS Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling. VI-non-IID can explicitly predict both the latent clean data and the pixelwise noise level map ($\bf{\sigma}$) - mengchuangji/VI-Non-IID
www.nature.com/scientificreports OPEN From diffusion in compartmentalized media to non‑Gaussian random walks Jakub Ślęzak* & Stanislav Burov In this work we establish a link between two different phenomena that were studied in a large and growing number of biological, composite ...
It is shown that one of commonly used approximate methods is the description of non-Gaussian processes, signals and noise as a finite sequence of elements or cumulant functions. In this case, if a large number of terms of the sequence is used, an acceptable error of the description can be...