1-base-paper

pitch esimation material

采用PCA提取人脸特征,先计算M个图像的平均值脸，再求出各特征值脸。(Using PCA for face feature extraction, first calculate the average face image of M, and then find the face value of each characteristic.)

说明：  咬尾卷积码的MATLAB代码，讲的非常详细和深入(Biting tail convolutional code matlab code, said very detailed and in-depth)

人工免疫算法的工具箱，有需要就拿去用吧！希望能采纳，(Artificial immune algorithm toolbox, there is a need to take with you! Hoping to adopt)

说明：  function [ret,x0,str,ts,xts]=s1(t,x,u,flag) s1 is the M-file description of the SIMULINK system named s1. The block-diagram can be displayed by typing: s1. SYS=s1(T,X,U,FLAG) returns depending on FLAG certain system values given time point, T, current state vector, X, and input vector, U. FLAG is used to indicate the type of output to be returned in SYS. Setting FLAG=1 causes s1 to return state derivatives, FLAG=2 discrete states, FLAG=3 system outputs and FLAG=4 next sample time. For more information and

说明：  计算电动汽车充电功率和符合预测，分时段计算，精度高(Calculation of electric vehicle charging power and coincidence prediction, time-sharing calculation, high precision)

说明：  模拟退火算法进行图像配准算法的研究，还请多多指教(simulated annealing algorithm for image registration algorithm research, but also a great weekend)

免疫记遗传算法在TSP中的应用，经实验仿真，发现本方法快速有效(Immune genetic algorithm in TSP in mind the application of the experimental simulation, found that this method is rapid and effective)

学习智能天线的matlab源码，对学习多天线及天线理论极为有用(Matlab source code to learn smart antenna, multiple antennas and antenna on the theory of learning is extremely useful)

说明：  灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的，但它毕竟是有序的，是有整体功能的。灰数的生成，就是从杂乱中寻找出规律。同时，灰色理论建立的是生成数据模型，不是原始数据模型，因此，灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。 此程序用来作灰色预测。 (Gray theory that the behavior of the system even though the phenomenon is dim, the data are complex, but it is after all, is orderly, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. At the same time, the gray theory is to generate data model, rather than the original data model, therefore, gray forecast data to generate data through the gm (1,1) model by the inverse of the predictive value of the results. This procedure is used for gray prediction.)