Si5Ni1

基于小波变换模极大值用于检测信号突变点，非原创，测试可用(Based on wavelet transform modulus maxima for point mutation detection signal, non-original, test available)

induction motor calculations

分段仿射系统的matlab开发工具箱； 实现PWA系统的建模和稳定性分析；( Matlab development kit of piecewise affine system Modeling and stability analysis of PWA system )

matlab pso-xc evolve.m matlab pso-xc evolve.m

SAR回波成像仿真程序，采用非线性调频尺度变标算法，并可通过修改参数设置运动误差(SAR echo imaging simulation program, the use of non-linear scaling algorithm FM scale, and set the motion error by modifying the parameters)

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.)

建立单频矩形脉冲信号,时间反转镜仿真,计算信号时反过后的能量增益(Establishment of single-frequency rectangular pulse signal, the time reversal mirror simulation, after calculating signal energy gain against)

仪表表盘识别程序，基于matlab编写。可识别数字表盘和指针表盘。对于清晰可辨的图片有较高的可靠性(Instrument dials recognition program, based on matlab prepared. Identifies digital dial and pointer dial. For legible image with high reliability)

波茨曼格子流体模拟，用于模拟微观油水驱替效果和流体分布关系(LBM fluid simulation, used to simulate the micro-oil-water displacement effects and the relationship between fluid distribution)

说明：  cdma 通信系统的实验综合实验仿真结果分析 (cdma simulink of telecommunication)