STBC

递归函数调用示例。使用switch case语句实现切换编程回调结构。(Example of a recursive function call. Achieved using the switch case statement to switch programming callback structure.)

ldcp编码解码源程序，用c语言写的，最后生成mex文件用于matlab使用 (ldcp codec source code, using c language, and finally generate mex file for matlab use)

how to construct a gui using matlab

matlab code on image detection

this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients of a signal,and how to reduce the noisy elements in a speech sample.

Tools for NIfTI (ANALYZE) MR image Matlab实现NIfTI(ANALYZE)核磁共振图像读取保存制作 这个Matlab程序包用于处理核磁共振图像，可以读取显示、保存、制作该图像。(Tools for NIfTI (ANALYZE) MR image Matlab implementation NIfTI (ANALYZE) MR image read save making the Matlab package for processing magnetic resonance images, you can read the display, storage, production of the image.)

Matlab Implementation of Standard PageRank method on sampled SNAP Google dataset.

该程序采用3 sigma原则剔除粗差，简单易操作。(The MATLAB code use for eliminate gross errors by 3 sigma, and it is easy to run.)

说明：  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社，2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性，首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次，它允许指定不同的推理过程，如精确推理和期望传播(EP)。第三，它允许指定似然函数，如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的，允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)

This script will setup the nonlinear simulation (UAV_NL.mdl) and call trim and linearization routines. Select the desired aircraft here in this script, via the "UAV_config()" function call.