cheungITKMatlabWrap

mulDNewton mulFastDown　解非线性方程组的方法　希望能帮到大家(mulDNewton mulFastDown method of solving the nonlinear equations we hope to help)

对Jiles-Atherton磁滞模型的5个参数进行辨识(Identification of 5 parameters of the Jiles-Atherton hysteresis model)

WSN radom distribution

对均匀线阵环境下的来波方向进行估计，分别用了MUSIC算法以及ESPRIT算法进行仿真。(DOA for ULA environment estimate, respectively, with the MUSIC algorithm and ESPRIT algorithm simulation.)

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：  stk和matlab互联的应用，创建简单的gui，可以对场景进行放大缩小(STK and MATLAB interconnected application, create a simple GUI, can zoom in and out of the scene)

queues and stacks implementation

求杂波秩的Matlab源代码，特别是针对强杂波的环境下，所以有需要的兄弟可以下载这个参考一下，呵呵 (For clutter rank Matlab source code, especially against strong clutter environment, hence the need for the brothers can download this reference, huh, huh)

带有gui(图形界面）的钢筋混凝土柱截面配筋及绘图程序。(With a gui (graphical interface) of the reinforcement and reinforced concrete column cross-section drawing program.)

微动经典文献，可以帮助大家学习微动方面的知识。里面包含三篇文献，都是雷达目标回波的。(Fretting classic literature can help us learn fretting area. Which contains three documents are radar target echo.)