指纹图像小波标量量化

matlab 数字水印的处理，可实现文件的加密处理(matlab digital watermark processing, encrypted files can be realized)

针对IS95进行MATLAB仿真，压缩包内共包含11个源文件，分别对PN序列的产生，调制，解调等进行了仿真。(MATLAB simulation carried out for IS95, compressed package that contains a total of 11 source files, respectively, on the PN sequence generation, modulation, demodulation, such as simulation.)

用matlab仿真电话的通信。DTMF仿真(Matlab simulation with telephone communication. DTMF Simulation)

matlab例程,简单介绍MATLAB的数据的一些基本操作方法(matlab routines, a brief introduction to some basic MATLAB data How-to)

pca进行主成分分析的源代码，对人脸识别，超分辨率有很好的作用(pca principal component analysis of the source code)

说明：  根据有限混合模型的数据分类的程序，同时附实验报告(Hybrid model based on limited data classification procedures, test reports with)

弗洛伊德算法计算有向网络图最短路问题。可算最短路径。(Freud algorithm to calculate the shortest path problem to the network diagram. Can be considered the shortest path.)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.

搭建的双馈风力发电机变流器控制模型，我自己做项目的时候用过，效果很好，大家可以随便用。 (Converter control model of doubly-fed wind power generator, I was working as a project, the effect is very good, you can literally use. )

资源描述本题我采用了两种算法来做。算法1是先计算模极大曲线的Lipschitz指数，Lipschitz指数绝对值小于a则判定为阶梯型边界，a为接近0的常数。算法2计算小于r且大于1/r则判定为阶梯型边界，r为大于1但很接近1的常数。