LFM_radar

saadat power system matlab files

segy输出小程序，用于地震数据的处理，很有帮助(segy output procedures for the processing of seismic data, and helpful)

神经网络变量筛选—基于BP的神经网络变量筛选,MATLAB的经典算法(Neural network variable selection- based on BP neural network variable selection, MATLAB classical algorithm)

对一个信号文件导入并进行fft变换，显示图形；对信号是否平稳，周期性，采样点数N，有偏无偏处理的估计效果等都做了处理和显示(A signal file is imported and transformed by FFT to display graphics; whether the signal is stable, periodic, sampling point N, the estimation effect of biased and unbiased processing are processed and displayed.)

This Code was developed from the code tracking red objects. it could be used for tracking faces if the color of the background is not the same color as human skin. This code runs fine even when you use the webcam on PC

混沌理论计算 互信息计算最佳延迟时间，保证可以运行(Mutual information to calculate the optimal delay time to ensure that you can run)

说明：  基于matlab实现强化学习算法中的Q-learning算法，进行训练(The Q-learning algorithm of reinforcement learning algorithm is realized based on MATLAB)

an introduction to dynamic meterology chapter three matlab所有代码 气象专业经典资料(an introduction to dynamic meterology chapter three matlab)

基于幅值裕量和相位裕量的FOPID参数整定(FOPID parameter tuning based on amplitude margin and phase margin)

说明：  主成分分析（PCA）的增量实施。 该算法在线更新每个变换系数矩阵新样本，而无需将所有样本保留在内存中。 在某种意义上，该算法在形式上等效于通常的批处理版本给定一个样本，将变换系数设置在末尾过程是相同的。 实时讨论了应用PCA的意义。(Incremental implementation of the principal component analysis (PCA). The algorithm updates the transformation coefficients matrix on-line for each new sample, without the need to keep all the samples in memory. The algorithm is formally equivalent to the usual batch version, in the sense that given a sample set the transformation coefficients at the end of the process are the same. The implications of applying the PCA in real time are discussed with the help of data analysis examples (a sample set is uploaded together with the examples))