frequency-discriminator-

说明：  高压缩比信号的重构问题，压缩感知理论相关(Reordering for Better Compressibility Efficient)

Moler写的配套书中的源程序，讲的是matlab在数值计算中的应用(Moler book written by matching the source, speaking in Matlab is the numerical calculation of)

SOURCE MATLAB MERCI A TOUS LE MONDE

communication Arduino with matlab

讲述通信系统仿真的内容，包括模拟调制和模拟数字转换的知识(About the content of the communications system simulation, including the knowledge of analog modulation and analog-to-digital conversion)

张澄波的综合孔径雷达比较老的版本,但是很基础,逻辑简单明了(Zhang Chengbo of synthetic aperture radar older version, but it is based on simple logic)

说明：  K-MEANS算法是输入聚类个数k，以及包含 n个数据对象的数据库，输出满足方差最小标准的k个聚类。 (K-MEANS algorithm is the input number of clusters k, and n a data object that contains the database and output to meet the standard minimum variance k-clustering.)

本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 (This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.)

GOOGLE的图像检索程序，应用MATLAB编写，简单易懂，适用于初学者(GOOGLE image retrieval procedures, using MATLAB to prepare, easy to understand for beginners)

Demosaicing Value Calculation