newton

imnoise2 预加噪声 matlab code(imnoise2 pre-plus noise)

Get kernell 32 in Windows

Matlab code and Simulink model for mass damper system with and without force.

有详细的注释，多目标跟踪的粒子滤波器，基于kaiser窗的双谱线插值FFT谐波分析，解耦，恢复原信号，包括AHP，因子分析，回归分析，聚类分析，保证准确无误，是学习通信的好帮手，重要参数的提取。 ( There are detailed notes, Multi-target tracking particle filter, Dual-line interpolation FFT harmonic analysis kaiser windows, Decoupling, restore the original signal, Including AHP, factor analysis, regression analysis, cluster analysis, Ensure accurate communication is learning a good helper, Extract important parameters. )

说明：  在matlab中运用cv模型来进行图像的分割处理，供大家参考！(Cv in the model to use matlab for image segmentation processing, for your reference!)

利用MATLAB 画正太概率纸的方法，原程序，可以用于画出概率纸(By using the method of MATLAB to draw the teenage boy probability paper)

基于离散余弦变换的图像去噪，小波变换去噪(Wavelet denoising)

说明：  深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)

说明：  是一个dcdc反激式开关电源设计运用matlab的simulink模块，有具体的波形和数据设置(Flyback switching power supply)

说明：  陈毅将军的生平传记，深刻描述了陈毅将军生活中的点点滴滴(Of General Chen Yi biographies of General Chen Yi-depth description of life in bit by bit)