shearlet

用模最大值法提取小波脊，该例中又两条小波脊，所以是多脊提取。同时又施加惩罚函数，控制lamda的值，可以得到较为平滑的小波脊。( using maximum modulus extract wavelet ridge, the case has two wavelet ridge, it is a multi-ridge extraction. At the same time to impose the penalty function to control the value of lamda,the extracted ridge can be relatively smooth .)

说明：  用MATLAB实现DNA遗传算法，有详尽注释，且已通过编译(DNA genetic algorithm using MATLAB implementation, a detailed annotation, and has passed the compilation)

摄影测量小程序，实现基于核线方程的相对定向及冲采样。(Photogrammetry small program to achieve based on the relative orientation of nuclear line equation and the red sample.)

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.)

近似熵的matlab实现程序Code for computing approximate entropy for a time series(Approximate entropy )

王旭东，靳雁霞编著 《MATLAB及其在FPGA中的应用》国防工业出版社 随书程序(Wang Xudong, Jinyan Xia edited the " MATLAB and its application in the FPGA" National Defense Industry Press with the book program)

the MATLAB codes for the well-known modulation techniques.

RF AMPILIFY CIRCUIT MODEL IN MATLAB

v-blast结构的迫零检测 无干扰消除和理想干扰消除对比(v-blast ZF )

这是一个基于PR控制的单相逆变器，实现对交流量的无静差跟踪(This is based on a single-phase inverter PR control, realize no static difference to cross flow)