satellite_formatin_control

matlab下使用penalty策略确定降噪的阈值(matlab use penalty strategy to determine the threshold denoising)

Advanced signal processing

1D MATLAB EFG CODE LINE (1D MATLAB EFG CODE LINE)

李雅普洛夫指数工具箱，但好像程序总是有问题，求高人指导(Index LE toolbox, but it seems that the program always have a problem, seek the expert guidance)

MATLAB基本函数集，对学习MATLAB指令有很大的帮助！！！(Basic set of MATLAB functions, MATLAB commands to learn a great help! ! !)

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：  对雷达信号处理中的恒虚警检测和动目标显示进行了仿真，对需要理解恒虚警检测的同学很有帮助(The CFAR detection in radar signal processing is simulated)

运用支持向量机以及模糊聚类方法对景点的大米图进行图像分割(We use the support vector machine and fuzzy clustering method to the attractions of the rice figure image segmentation)

模糊神经网络的预测算法,嘉陵江水质评价,MATLAB的经典算法(Fuzzy neural network prediction algorithm, Jialing River water quality assessment, MATLAB classical algorithm)

RLS自适应滤波算法及其改进算法的子函数程序。还有相关的例程展示(RLS adaptive filtering algorithm and its subfunction program.There are also related routine demonstrations.)