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pca face recgnition...............matlab

说明：  这个用matlab写的小程序可以将连续的若干桢图像连接成一段视频(connect a sequence of images into a vedio)

求取信号的包络，信号的包络含有重要的调制信息，本程序给出了求取信号包络的方法(To strike a signal envelope, signal modulation envelope contains important information, this program gives way to strike a signal envelope)

This program grabs the "glass brain" Maximum Intensity Projection (MIP) from an SPM99 results plot, makes the voxels orange-ish instead of gray, and offers the option of saving the separate brain images into EPS files, which are good for distilling into PDFs or for loading directly into Adobe Illustrator. By the way, the EPS files are large (around 192K), but they shrink into nice compact 8K PDF files.

说明：  静止无功发生器原理仿真，主电路为电压型桥式电路，电流解耦的双闭环控制策略(SVG working principle diagram, voltage bridge circuit as the main circuit, current decoupling double closed loop control strategy, SVPWM MATLAB simulation)

一个简明的基于聚类的RBF（径向基）神经网络设计算法(A simple clustering-based RBF (Radial Basis Function) neural network design algorithm)

模拟退火算法，模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。(Simulated annealing algorithm, simulated annealing algorithm derived from the principle of solid annealing, heating the solid to the full high, let it slowly cooling, heating, the solid particles with the internal temperature rise to disorder symptoms, which can be increased, and slowly gradually cooling particles in an orderly manner, at each temperature to reach equilibrium, and finally at room temperature reaches the ground state, which can be reduced to a minimum.)

接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系(Receiver using the algorithm and program flow with the sender sending the OFDM symbol of the frame structure of relations)

power_switching_power_supply_lib.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_switching_power_supply_lib.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

image is to be compressed and decompressed by using arithmetic coding.Assigning probability value which is to be between 0 and 1