expdist

最速下降法，用MATLAB实现。很经典！(Steepest descent method, using MATLAB to achieve. Classic!)

说明：  SLIC method is used to segment polarimetric SAR image and calculate classification accuracy

实现白光多缝衍射和双缝干涉，得到白光彩色的干涉条纹(Realization of white multi-slit diffraction and double-slit interference fringes get white color)

Aplication values with NetbeansIDE

利用伯德图来证明DC-8飞机，在0.84Mach和10000m高空的俯仰运动稳定性。( This example is to demonstrate pitch motion tracking control by using Bode diagram with elevator inputs for the DC-8 at 0.84Mach and 10000m )

Pulse Code Modulation (PCM)

直流变换器的串联控制，实现模块的输入输出均压(The serial control of the DC converter, the input and output voltage of the module is pressed.)

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.)

主要讲解一些关于matlab的指令 方便大家在使用的时候查找(Explain some of the main directives regarding matlab convenient time for everyone in the use of search)

image file is used for image retrieval