HaloOrbits

matlab 医院人数统计 可以计算一段时间 人数(matlab tong ji ren shu )

Laplace金字塔算法的图像处理Matlab程序，希望对大家有帮助(Laplace pyramid algorithm for image processing Matlab program, we want to help)

this code make random sea wave and analysis their parameter

子相干模板法，用于消除50Hz噪声信号干扰(COHERENT template method for eliminating noise 50Hz signal interference)

matlab免费软件下载地址汇总。包含了R2010/R2009/R2008/2007/R2006各个版本。欢迎下载。(Free Software Download matlab summary. Each version contains R2010/R2009/R2008/2007/R2006. Welcome to download.)

说明：  最近邻航迹关联算法，用于目标跟踪，演示程序包括整个跟踪全过程(NN Data Association)

关于地震以及测井方面matlab代码 很实用(Seismic logging matlab code)

用于提取语音每帧的mfcc函数，将数据保存在cell文件中，可以直接使用cell，也可经过变换，提取到表格中使用(The MFCC function used to extract each frame of speech is saved in cell file. Cell can be used directly or transformed to extract the data into tables)

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.)

实现雷达点目标在距离向和方位向的压缩处理(Radar point target in the distance and direction to the compression to)