Mobiel_Fading_Channels_MATLAB

改进的积分方程模型，微波遥感领域，用于求土壤的后向散射系数等；该模型为双站散射。(Improved integral equation model, the field of microwave remote sensing, and soil after backscattering coefficient model for bistatic scattering.)

2010 数学建模大赛 赛前matlab培训4(MATLAB programming topics lecture 4.zip)

blowfis and ecb encription

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.)

说明：  英文字符识别,很有用的 有详细的代码解析(q nhi ddddddd)

matlab程序，用mfile编写的鲁棒控制程序(matlab program, written with mfile robust control procedures)

this is pdf it is very useful for study the matlab and functions

光子筛孔分布的例程，用于光子筛成像时使用(Photon sieve distribution routine for use when the imaging photon sieve)

声波在水中传播计算的matlab工具箱，包括射线模型、简正波模型、快速场模型等(underwater acoustic Simulaton toolbox for matlab)

高斯噪声随机变量发生器，这些随机变量有一个零均值，方差D。(Gaussian random variable generator，These random variables have a zero mean and variance D.)