spline3

说明：  pso-bp神经网络预测程序，内包含数据。(Prediction and analysis of BP neural network based on particle swarm optimization)

本matlab程序可以对列车称重仪的数据进行分析处理，是一个hilbert-huang变换的很好例子！(The matlab program can train weighing instrument of data analysis and processing, is a hilbert-huang transform a good example!)

智能优化算法：蚁群算法的程序matlab 方便初学者学习(Intelligent optimization algorithms: ant colony algorithm to facilitate the procedures for matlab beginners to learn)

1 录入一段语音，对其进行时域频域处理，通过变频、变速达到变声目的，且使处理后的语音信号不影响正常收听与理解。 2 用图形用户界面（GUI）对上述变声前变声后进行时域频域图形输出，不同的频率、速度有不同的输出，且对前后波形进行比较 (1 entry a voice, the frequency domain and time domain by frequency conversion variable speed, processing to make the treatment and voice purpose, after the speech signal shall not affect the normal to listen to and understand. 2 with the graphical user interface (GUI) voice of the above voice before after the frequency domain in the time domain graphics output, different frequency, speed have different output, and compared before and after waveform )

运用相关矩阵法，通过计算2 根天线之间的相关系数、多输入多输出(MIMO)的相关矩阵，得到MIMO 信道系数矩阵，在其中加 入智能天线(SA)的导向向量和赋形向量，得到MIMO/SA 矩阵，由此实现对MIMO/SA 多天线空时信道的建模。(Use of the correlation matrix method, the multi-input multi-output (MIMO), correlation matrix, obtained by calculating the correlation coefficient between the two antennas, the MIMO channel coefficient matrix, Smart Antenna (SA) was added in which the guide vectors and shaped vector, obtained MIMO/SA matrix, thus achieving the modeling of the space-time channel, multi-antenna MIMO/SA.)

关于粒子滤波算法入门的基础知识，可以快速理解粒子滤波相关概念(Basic knowledge about particle filter entry, you can quickly understand the concepts of particle filter)

说明：  该仿真模型搭建了Buck-boost仿真模型，实现输入电压的变换(The Buck-boost simulation model is built to realize the input voltage conversion.)

To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 ％ + time varying measurement noise ％ using a multi-layer perceptron (MLP) and both the EKF and ％ the hybrid importance-samping resampling (SIR) algorithm. (To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.)

飞行器航迹模拟程序，利用matlab进行仿真(matlab trace)

自己写的分位点估计。有需要请下载。里面有bootstrap方法。仅供参考(Write your own quantile regression. There is a need to download. There bootstrap method. For reference only.)