用C-C法求混沌时间序列的延迟时间和嵌入维数

该文针对具有两个相互重叠频率成分的密集频谱 ,分析了两个重叠频率成分在复频域的叠加情况 ,在不增加采样长度的条件下 ,通过向量分解和单频率成分的识别、校正方法 ,推导出其校正公式。(In this paper, with two overlapping frequency components of the dense spectrum of two overlapping frequency components in the frequency domain stacking situation, in terms of not increasing the sample length, through the vector decomposition and single-frequency components of the identification, correction derived the correction formula.)

matlab开发，GUI实例源程序~matlab开发，GUI实例源程序~(35 matlab GUI example. It s very useful.35 matlab GUI example. It s very useful.)

零相关窗互补码产生及相关性和互相关性计算(Complementary code produces zero correlation window and the correlation and cross-correlation calculations)

计算图像的质心，各种矩以及基于矩的图像重构算法，对模式识别和图像处理有较大的研究价值。(calculated image of the center of mass, and for the moment the various moments of image reconstruction algorithm, on Pattern Recognition and Image Processing of a larger research value.)

一种基于最小熵反褶积( ]8+83)3 6+D*(A4 Q20(+W(-)D8(+，]6Q) 的滚动轴承故障特征提取方法: 在利用 /X 模型去除齿轮啮合产生的确定性信号的基础上，对保留信号进行最小熵反褶积，增强冲击信号"该方法避免了传统轴承故障诊断方法中带通滤波器设计的难题，实车测试表明: 与共振解调技术相比，该方法提取的滚动轴承故障特征更加明显，更适合于工程应用"(Based on minimum entropy deconvolution (] 8+83) 3 6+D* (A4 Q20 (+W (-) D8 (+,] 6Q)' s fault feature extraction method: using/X model to remove the uncertainty generated signal gear on the basis of the retention signal minimum entropy deconvolution, and enhance the impact of signal " This method avoids the problems of traditional bearing fault diagnosis method of the bandpass filter design, real vehicle test showed that: compared with the resonance demodulation technology, which fault feature extraction method is more obvious, more suitable for engineering applications. " )

说明：  遗传算法优化pid参数实测可用，自己论文里面使用的(Optimization of PID parameters by genetic algorithm)

learning matlab software for simulations

signal to dq frame for single phasepwm rectifier which work in open loop for traction systems.matlab simulink modal is aasigned with it.

说明：  matlab链码，计算连通区域周长，基于玉米图像预处理自行编写(matlab chain code to calculate the circumference of the connected region)

说明：  针对四维目标跟踪模型的主程序，可以用来学习仿真模型参数(2017-ITAC-A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices)