jiedian

说明：  用Newton插值多项式和三次样条插值多项式，已知f(x)=1/(1+25x^2)(With the Newton interpolation polynomial and cubic spline interpolation polynomial, known f (x) = 1/(1+25 x ^ 2))

说明：  电力有源滤波器的仿真电路图的子电路图之四，算法是经典的dq0算法(APF circuit simulation of the circuit-4, the algorithm is the classic dq0 Algorithm)

遗传算法 旅行商路径优化 编码选择交叉变异解码 (Genetic algorithm optimization of traveling salesman path selection crossover and mutation encoding decoding)

matlab进行数字提取时，数字模板模板库！(matlab number)

Matlab是一套功能强大的技术计算（technical computing）软件工具，就数据采集方面来说，它集中了信号采集（它内置一些著名厂商的数据采集卡驱动程序），信号分析（计算），可视化（绘图），文件处理（存盘，打印等）各方面功能于一体，而且很容易开发出WINDOWS图形用户界面（Graphical user interface，缩写为GUI）.(Matlab is a powerful technical terms (technical computin g) software tools, data acquisition is concerned, It concentrates the signal acquisition (which built some well-known manufacturers of data acquisition card driver), signal analysis (calculated), Visualization (graphics), document processing (save, print, etc.) all functions into one. it is very easy to develop Windows graphical user interface (Graphical user inter face, the initials for GUI).)

说明：  matlab的入门教程，上手快，通过ppt进行讲解，包括可以进行练习的小算例代码。(Introductory course of matlab)

本程序仿真了高斯噪声的几种概率密度估计方法(This procedure simulated several Gaussian noise probability density estimation method)

matlab code for Simplified Gradient Descent Optimization

说明：  在N=128时采用次优化迭代算法的PTS法与普通PTS法的PAPR性能比较。仿真参数：QPSK调制，V=4，P=4，取 。从程序的运行时间可知，采用次优化迭代算法，PTS法的复杂性可以大大降低。(In the N = 128 used sub-optimal iterative algorithm method and the general PTS PTS PAPR performance comparison method. Simulation parameters: QPSK modulation, V = 4, P = 4, to take. We can see from the program' s running time, using sub-optimal iterative algorithm, PTS method can greatly reduce the complexity.)

The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local featurexs extraction and matching. Algorithms incldue Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixes, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. The latest version of VLFeat is 0.9.19.