求解单自由度振动 可以直接输入参数计算 简单方便

一维热传导程序程序，很简单，完全可以套用的。是通用方法(One-dimensional heat conduction)

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：  模拟拓展卡尔曼滤波的计算，雅各比矩阵的运算(Extended Kalman Filter)

backpropagation algortihm for fisher data

说明：  基于K-L算法的人脸识别matlab程序代码(KL-based face recognition algorithm matlab code)

对图像进行jpeg变换的程序，希望对大家有帮助，主意不是jpeg2000(Jpeg transform the image process, we want to help, ideas are not jpeg2000)

Shannon-Fano implementation in C++

BIOMETRICS SOLUTIONS USING DATA AND IMAGES MATHEMATICS FORMS

matlab的两个小球碰撞的模拟程序，很简单的。平时没事瞎编的。(Two small ball collision matlab simulation program, very simple. Usually nothing fabricated.)

matlab 图像梯度化示列，对新手学习matlab很有帮助(matlab image gradient-based show out on the novice to learn matlab helpful)