FSK

vca algo for hyperspectral

说明：  本程序采用迎风方案实现推广GAC模型的水平集方法，用于图像处理，具有较好的效果(The program uses the wind to promote the program to achieve the level set method GAC model for image processing, with good results)

LMS、RLS、CMA自适应均衡算法matlab仿真，出图效果很好。( LMS, RLS, CMA adaptive equalization algorithm matlab simulation, showing good results. LMS, RLS, CMA adaptive equalization algorithm matlab simulation, showing good results.)

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.)

中文教程。本教程提供了使用MATLAB的实践性指导，它基于MATLAB6.0版，内容由浅入深，特别是本书对每一条命令的使用格式都作了详细而又简单明了的说明，并配备了例题加以说明其用法，因此，对于初学者自学是很有帮助的；同时，又对数学中的一些深入问题如数值分析、稀疏矩阵、优化理论以及模糊数学等问题进行了较为详细的论述，因此，该书也可作为科技工作者的科学计算工具书。(Chinese tutorial. The Guide provides practical guidance to the use of MATLAB, which is based on MATLAB6.0 edition, the content of easy-to-digest, especially the book on the use of each command formats are explained in detail and simple description and sample questions to be equipped with its usage, therefore, self-study is very helpful for beginners At the same time, some of mathematics in depth issues such as numerical analysis, sparse matrix, optimization theory and fuzzy mathematics, etc. more detail, therefore, the book can also be used as science and technology workers in scientific computing tool.)

simulation of slm papr reduction

MPSK的simulink仿真，纯手工制作(MPSK the simulate simulation，by oneself)

1)LQG design of an unmanned helicopter 2) LQR control of an unmanned helicopter 3) speed torque characteristics of Induction machine

最基本的快捷键操作 (Basic Operation)

MatLab file for XFEM