matlab2

说明：  matlab 编写的spm软件应用，希望对学习SPM软件的朋友有用。(matlab spm)

说明：  通信原理的系统仿真系列--code&decode for QDPSK。供刚接触到matlab的朋友参考。(communications system simulation series-- code)

自己写的编程，有关斯密特正交化，继而qr分解(Write their own programming, about Schmitt orthogonalization, then qr decomposition)

实现数据的简单DS融合，里面包含已有的五种数据的，利用贝叶斯、随机森林、k近邻分类器分类，最后融合(Simple DS fusion of data, which contains five kinds of data, uses Bayesian, random forest, k-nearest classifier to classify, and finally fuses.)

OBDII Generic Communication Protocols by Manufacturer 各車場的通訊協定(OBDII Generic Communication Protocols by Manufacturer )

Iterative closest poin in MATLAB

数值计算中的Euler法相关的matlab源程序(Numerical calculation of the Euler method related to matlab source)

工具箱 (整数线性规划工具箱) Matlab中使用(Kit (Integer Linear Programming Kit) Matlab using)

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)

针对离散系统的阶跃信号,正弦信号和方波信号的位置响应,设计了离散pid控制器(Step for discrete-time systems signal, sinusoidal signal and the square wave signal in response to the location, design a discrete controller pid)