sga

灰色预测模型能够通过以往的数据预知未来的数据，准确率高，鲁棒性强(Gray prediction model can predict the future through the past data of data, high accuracy and robustness)

根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法，程序前面给出了PSO算法参数设置，种群初始化，寻找初始极值，迭代寻优，最后通过算法反复迭代300次，画出每代最优个体适应度值变化曲线，最后通过对比发现说明PSO算法具有较强的函数极值寻有能力，谢谢，希望对大家有帮助。 (According to the principle of PSO algorithm in MATLAB programming function PSO algorithm based on extreme value optimization algorithm, the preceding program gives the PSO algorithm parameter settings, population initialization, looking for initial extreme value, iterative optimization, and finally through the iterative algorithm 300 times draw the best individual fitness value of each generation curve, and finally by comparing the findings indicate that PSO algorithm has strong function extreme ability to find, thank you, we want to help.)

这个是摄象机线性散步定标的源码，是在MATLAB下运行的(This is a linear walk camera calibration source is running under MATLAB)

本代码为matlab编写，编程实现信号经过QPSK调制后，再经过AWGN信道下，得到的误码率性能曲线，并且与理论上的误码率进行对比。(The matlab code is written in programming through the QPSK modulation signal, and then through the AWGN channel, the resulting bit error rate performance curve, and with the theoretical bit error rates were compared)

使用matlab实现图像处理的几个程序，包括二维绘图，三维绘图，MATLAB 图形对象，MATLAB 图形对象操作等(Matlab image processing to achieve the use of several procedures, including two-dimensional graphics, three-dimensional graphics, MATLAB graphics objects, MATLAB graphics object operation)

说明：  求N个字符的最大公共子串，超高效率，希望能给大家带来帮助谢谢(Request N sub-character string of the largest public, high efficiency, We hope you help thank you)

Multi-axial mode modelocking

使用matlab实现信号发生器以及电子琴(A basic signal generator &digital piano based on Matlab)

解非线性薛定谔方程（相关的参数只需改成实际需要即可得到时域和频域图）(solve nlse)

计算Mel倒谱系数的matlab程序： MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH) 使用: c=melcepst(s,fs) ％ calculate mel cepstrum with 12 coefs, 256 sample frames(Mel cepstrum coefficients calculated the matlab procedure: MELCEPST Calculate the mel cepstrum of a signal C = (S, FS, W, NC, P, N, INC, FL, FH) using: c = melcepst (s, fs) calculate mel cepstrum with 12 coefs, 256 sample frames)