Hilbert

Generate a great circle "trajectory" from [lat1,lon1] to [lat2, lon2].

这个程序，可以显示多通道的脑电信号，并且能够显示通道的名称(this program can show multichannel EEG, and show the name of the channels.)

students learning code

掌握用MATLAB求无穷级数的和、求幂级数 的收敛域、展开函数为幂级数以及展开周 期函数为傅里叶级数的方法(infinite series)

Extended Kalman Filter for GNSS processing

Preconditioned Conjugate Gradient iterative Ax=b solver.Routine to solve a symmetric positive definite linearsystem Ax = b using the Preconditioned Conjugate

车辆matlab操作稳定性仿真分析，本人制作程序，仅供参考。(Vehicle operation stability simulation, it made a program for reference purposes only.)

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

Takagi-Sugeno fuzzy models are based on the concept of fuzzy coding of information and operating with fuzzy sets instead of numbers

基于Matlab的LDPC码的研究，讲的很好，可以下载看看那(MATLAB ldpc )