simluo1

用matlab模拟球形微粒的散射特性。。。。。。。(Simulate the scattering properties of spherical particles)

说明：  matlab svm 源代码 matlab svm 源代码 (matlab svm)

This mfiles is for optimal control sdsdsdggbcvc

802.11a通信协议仿真matlab程序，其中有些子函数已经有大神上传过了。(802.11a protocol simulation matlab procedures, some of which subroutine has uploaded a great God)

关于MATLAB的工程应用基础的幻灯片，希望对大家有所帮助(matlab-based engineering applications)

对最小二乘支持向量机的核函数进行参数优化，最后得到分类更加准确的分类器(For least squares support vector machine (SVM) kernel function parameter optimization, finally get a more accurate classification of classifier)

First use EEMD to decompose the original singal to get IMFS,then use FFT to analyse the each IMF,combine EEMD with FFT to get clearer analytic results.

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.)

matlab串级调速模型 适合初学者看看学习(matlab cascade control model suitable for beginners to learn to see)

LPC sample code 4 matlab