distance

本压缩文件详细介绍了Robert Piche博士关于贝叶斯算法的理论和他的笔记，其中文档中还包含源码程序，另附两个m文件源程序，是一个非常实用的学习及参考资料(In this course we present the basic principles of Bayesian statistics (an alternative to "orthodox" statistics). We start by learning how to estimate parameters for standard models (normal, binomial, Poisson) and then get acquainted with computational methods (MCMC) and software (WinBUGS) that can solve complicated problems that arise in real applications. Advanced topics include model comparison and decision theory. )

雷达系统下的MATLAB仿真，包含有雷达探测，波形形成，脉冲压缩，动目标检测等常见有用的matlab源代码(Under the radar system of MATLAB simulation, containing the radar detection, wave form, pulse compression, moving target detection common useful MATLAB source code)

基于DCT的图像压缩及其MATLAB仿真实现，详细的过程可运行结果(DCT-based image compression and MATLAB Simulation, the process can run more results)

地球物理中地震剖面的成图程序，就有较好的成图效果。(Seismic profiles into the program, there are better mapping results.)

matlab实现excel格式的数据的快速傅立叶变化程序(matlab excel format data fast Fourier transform program)

使用matlab生成SOS滤波器，应用于FPGA的一个小型系统，有一定的参考价值(Using MATLAB to generate SOS filter, applied to a small system of FPGA, there is a certain reference value)

说明：  3维拓扑优化计算算法，可用于初级拓扑优化学习和在此基础上进行拓展(3 d topology optimization algorithm can be used for primary topology optimization learning and expansion on this basis)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

说明：  matlab的简单练习，对图像进行基本操作。课堂练习而已(matlab simple exercises, perform basic operations on the image. Workshop only)

说明：  利用中值滤波和小波相结合的方式，去除信号中含有的随机噪声和脉冲噪声(The method of combining median filter with wavelet is used to remove the random noise and impulse noise in the signal)