octave-3.4.2.tar.bz2

matlab程序实现读取txt文本方法理论(the matlab realize read txt text theory)

最大最小滤波程序，实现效果很好，用matlab实现，简单好用(max-min filter)

1D FDTD Simulation with Matlab

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.)

提取图像中的红色，并且使红色部分变为白色，其余部分变为黑色。(get the red color area from a picture, and turn the red part into white, and the rest into black)

Matlab个人学习编程的资料，带有题目，题目是英文的。附有结果图片(Individual learning Matlab programming information, with title, the title is in English. With the results of image)

这个资料，集中系统的介绍了MATLAB在通信系统仿真中的应用，分享(This information, focus on the system introduced in the communication system MATLAB simulation, sharing)

一些matlab中很有用的源码程序，对于初学者学习很有帮助(matlab )

说明：  根据异步电动机矢量控制的基本原理，基于Matlab 软件构造了按转子磁场定向的矢量控制系统的仿真模型。(According to the basic principles of induction motor vector control，simulation model of rotor magnetic field oriented vector control system based on the MATLAB software.)

扩展Klman滤波在车辆GPS/DR组合定位系统信息融合中的应用，主要包括：产生车辆运行轨迹，GPS卫星单独定位导航，DR车辆航迹单独定位导航，GPS/DR通过扩展卡尔曼滤波进行多源数据融合实现的组合定位导航。产生的结果有车辆实际运动轨迹，车辆在GPS定位下的运动轨迹，车辆在DR定位下的运动轨迹，车辆在GPS/DR数据融合后组合定位轨迹，以及各种定位方式在北向和东向各自的误差图。(The extended Klman filter in vehicle GPS/DR integrated navigation system information fusion application, mainly including: the generation of vehicle trajectory, GPS satellite positioning and navigation of vehicle track alone, DR alone, GPS/DR positioning and navigation, by extending the Calman filter to achieve multi-source data fusion combined navigation. The result of actual vehicle trajectories, trajectories of vehicles in GPS positioning, DR positioning in the vehicle trajectory, vehicle location trajectory in GPS/DR after data fusion, as well as a variety of ways to locate and east the error map in the north.)