test_radar2

说明：   matlab灰色预测的通用算法程序，很好的套用模版(universal algorithm for Matlab gray prediction procedure, apply the template)

说明：  噪声射频干扰信号的matlab仿真实现，其中包含成像的提取程序(SAR radio frequency jamming signal)

matlab code for image processing

Implement the K nearest neighbor algorithm by your own instead of using available software. 2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result. 3. Train the classifier using your training dataset, and test the classifier using your testing dataset. 4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.

各种分布之下的随机数matlab生成代码，共18种分布，比较全面，研究随机数常用代码(Matlab distributed under a variety of random numbers generated code, a total of 18 kinds of distribution, a more comprehensive study used a random number code)

信号功率谱密度、信道为AWGN信道时构造一种接收机(Signal power spectral density, for the AWGN channel when the channel construct a receiver)

watterson信道matlab仿真,瑞利衰落。。。。(This example shows how to simulate High-Frequency (HF) ionospheric channels, based on the models described in Recommendation ITU-R F.1487. In particular, it shows how to simulate the general Watterson channel model, and other simplified channel models used in the quantitative testing of HF modems. It makes use of the Rayleigh multipath fading channel object and the Gaussian and bi-Gaussian Doppler structures from Communications System Toolbox.)

说明：  alm for matrix completion

说明：  决策树(Decision Tree）是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率，评价项目风险，判断其可行性的决策分析方法，是直观运用概率分析的一种图解法。由于这种决策分支画成图形很像一棵树的枝干，故称决策树。在机器学习中，决策树是一个预测模型，他代表的是对象属性与对象值之间的一种映射关系。Entropy = 系统的凌乱程度，使用算法ID3, C4.5和C5.0生成树算法使用熵。这一度量是基于信息学理论中熵的概念。 决策树是一种树形结构，其中每个内部节点表示一个属性上的测试，每个分支代表一个测试输出，每个叶节点代表一种类别。 分类树（决策树）是一种十分常用的分类方法。它是一种监督学习，所谓监督学习就是给定一堆样本，每个样本都有一组属性和一个类别，这些类别是事先确定的，那么通过学习得到一个分类器，这个分类器能够对新出现的对象给出正确的分类。这样的机器学习就被称之为监督学习。(Decision tree is a decision analysis method based on the known probability of occurrence of various situations, which can calculate the probability that the expected value of net present value is greater than or equal to zero, evaluate the project risk and judge its feasibility by constructing a decision tree. It is a graphic method of intuitively using probability analysis. Because this kind of decision branch is drawn as a graph, it is very similar to the branch of a tree, so it is called decision tree. In machine learning, decision tree is a prediction model, which represents a mapping relationship between object attributes and object values. Entropy = the disorder degree of the system, using algorithms ID3, C4.5 and C5.0, spanning tree algorithm using entropy. This measure is based on the concept of entropy in information theory.)

指纹识别的matlab程序，里面包括了一些指纹图片，利用gabor小波进行识别(Fingerprint recognition matlab program, which includes a number of fingerprint images using gabor wavelets to identify)