chapter2511

说明：  MATLAB 开发实现的Gold_codes(Gold_codes)

脑电信号的复杂度计算，有文档和多个matlab程序实例(EEG complexity calculation, there are documents and multiple instances of matlab program)

基于Matlab的优化算法，文件里面包含模拟退火法等多种遗传算法。(Optimization algorithm based on Matlab, the file which contains a wide range of genetic simulated annealing algorithm)

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.)

无线传感器网络加权质心自定位算法中加权质心算法仿真(Centroid algorithm simulation in wsn)

a smaple matlab program

基于MATLAB坏境，一本很经典的神经网络设计书，值得参考学习(MATLAB，Neural Network Design)

matlab绘制多种二维数据曲线图，三维曲线图，图像处理及动画制作。(matlab draw a variety of two-dimensional data graph, 3D graph, image processing and animation.)

matlab code sets for utility applications

改程序实现QPSK系统的性能仿真，仿真与理论相符，供大家参考。(QPSK System Simulation, Pe evaluation)