SF_NET

Fuel cells 燃料电池 用以研究 分散型电源并接(Fuel cells)

基于morphing论文利用matlab工具编写的一个简单的morphing技术实现的代码，可以下载看一下！(Paper-based morphing tool using matlab prepared a simple morphing technology to achieve the code, you can download a look!)

小波支撑向量机预测方法研究，可以参考，是文档形式，欢迎下载。(Correction of wavelet support vector machine sensors, can refer to, is a document form, please download.)

针对多层导热特性的一个简单分析模型，可通过对不同层材料特性的设置，核算材料温度的变化。 (A simple model for the analysis of the thermal properties of the multilayer may be provided by the material properties of the different layers, accounting material temperature variations.)

区块截断编码对图像进行压缩处理，为提高压缩率采用自适应的方式对小区块进行划分(Block truncation coding for image compression, in order to improve the compression ratio using adaptive way to divide the cell block)

说明：  支持向量机最初用来解决模式识别问题，目的是发现泛化性能好的决策规则。然而，随着Vapnik的 不敏感损失函数的引入，支持向量机已经扩展为解决非线性回归估计问题，而且与神经网络方法相比，有着显著的优越性，被认为是人工神经网络方法的替代方法，已经成为目前机器学习领域的研究热点和焦点。(Support vector machine (SVM) was originally used to solve the problem of pattern recognition. However, with the introduction of Vapnik's insensitive loss function, support vector machine (SVM) has been extended to solve the problem of nonlinear regression estimation. Compared with neural network method, support vector machine (SVM) has obvious advantages. It is considered as an alternative method of artificial neural network method, and has become the research hotspot and focus in the field of machine learning.)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

说明：  这是一个关于基本的最小二乘的程序，只用Matlab语言编写的。(This is a basic program about least squares, written in Matlab language.)

Clustering an image using k-means algorithm

直接转矩控制算法的实现及其相关设置配置 (DTC control method)