SEGY

matlab程序，用pca分解重构对原始信号进行噪声抑制，利用bic准则进行主分量阶数选择(matlab program, using pca decomposition and reconstruction of the original signal noise suppression, the use of principal component bic guidelines Order Selection)

这是我自己编写的一个改进的经验模态分解EEMD的源码，希望大家能用上(This is what I have written an improved empirical mode decomposition EEMD source code, I hope everyone can be on)

2DPCA code 可以对数字图像进行处理，找出主成分，减小变量个数。(2DPCA code for digital image processing can identify the main components, reducing the number of variables.)

text extraction using canny

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

基于simulink的功率及其功率因素的仿真模型(Based on the power and power factor simulink simulation model)

利用牛顿拉夫逊法对IEEE30配电网系统进行潮流计算，为配电网状态估计提供初值(to get power flow of ieee30 by newton-rafson,then provide the strat state for dse)

FSK for digital communication or digital signal processing

This is application example for using Gauss-Seidel method in power system.

基于匹配滤波器的线性调频雷达回波产生及压缩(LFM matched filter-based radar echo generation and compression)