work

动态规划程序是求解决策过程(decision process)最优化的数学方法。(dynamic programming)

基于形态滤波和局域值分解的齿轮故障诊断matlabGUI程序(Based on morphology filtering and local matlabGUI value decomposition of gear fault diagnosis process)

说明：  基于遗传算法的优化bp神经网络的源代码，希望对大家有所帮助(Bp neural network genetic algorithm optimization)

BFT,正交傅里叶变换，用于检测线性调频斜率的方法。仿真与论文结果一致。(BFT, orthogonal Fourier transform for detecting the slope of the linear frequency modulation method. Simulation results are consistent with the thesis.)

S 函数 编写的 MPPT 在MATLAB上 调试成功 请大家参考(S function written MPPT in MATLAB debugging please refer to)

利用FAST-ICA进行谐波分解，过程简单，数据可靠(FAST-ICA harmonic decomposition, the process is simple, reliable data)

Probabilistic transient stability with monte carlo methods. *Note: copy the text in matlab and the run.

灰度图象的直方图均衡化；梯度；直方图规定化；灰度图象的直方图数据；灰度直接变换:增强对比度(gray image histogram equalization; Gradient; Histogram provisions; Gray image histogram data; Gray direct transformation : Enhanced Contrast)

脉冲压缩，并进行加窗处理，加hamming窗(Pulse compression and the windowing processing, plus hamming window)

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))