low_pass_all

应用SIMO技术来构造高矩阵，达到进行盲信道估计技术所需要的条件，（OFDM）(SIMO technology applications to construct high-matrix, reaching for blind channel estimation techniques required conditions, (OFDM))

说明：  这个是全英版的matlab的全部中文翻译，有利于初学者的学习。(This is the UK version of the full Chinese translation of matlab is conducive to learning for beginners.)

code for differential evolution for function optimization

神经网络原理与实例精解,有用，希望有帮组(Examples of neural network theory and refined solution)

SVM for Classification and Regression,其文中附有相应的网址，并可以下载SVM，结合相应的实例进行讲解(SVM for the Classification and Regression. his article with the corresponding web site and can be downloaded SVM, with the corresponding example to explain)

sapjco3官网jar包，包中含有详细开发实例(sapjco3 official website of the jar package, the package contains a detailed example of the development)

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

一个故障诊断的程序，采用了ICA的方法，将故障时刻检测了出来。(A fault diagnosis of the program, the ICA the method of fault detection out time.)

说明：  modulation classification

这是一个学习matlab很好的教程，里面有很多课件。(this is an usefull materials，it is helpful for matlab learner！)