10

MATLAB程式设计与应用,包含常用的表达式的应用(MATLAB programming and application)

说明：  使用最小错误率贝叶斯分类器对学生成绩进行分类(Minimum error rate using Bayesian classifier to categorize student achievement)

There are many compressed sensing (CS) recovery algorithms that have been proposed. Here I list some of them, and provide the corresponding experimental results. Essentially, the recovery algorithms are similar to the sparse coding based on the over-complete dictionary.

船舰尾迹识别，包括尾迹增强，边界识别，边界识别及船只定位(failed to translate)

考虑一长度为D，宽度为L的理想均匀面阵天线，并用Matlab画出其二维波束方向图。(Consider an ideal uniform planar array antenna with length D and width L, and draw its two-dimensional beam pattern with MATLAB.)

说明：   在三次样条中，要寻找三次多项式，以逼近每对数据点间的曲线。在样条术语中，这些数据点称之为断点。因为，两点只能决定一条直线，而在两点间的曲线可用无限多的三次多项式近似。因此，为使结果具有唯一性。在三次样条中，增加了三次多项式的约束条件。通过限定每个三次多项式的一阶和二阶导数，使其在断点处相等，就可以较好地确定所有内部三次多项式。此外，近似多项式通过这些断点的斜率和曲率是连续的。然而，第一个和最后一个三次多项式在第一个和最后一个断点以外，没有伴随多项式。因此必须通过其它方法确定其余的约束。最常用的方法，也是函数spline所采用的方法，就是采用非扭结(not-a-knot)条件。这个条件强迫第一个和第二个三次多项式的三阶导数相等。对最后一个和倒数第二个三次多项式也做同样地处理。 (the Cubic Spline, to find three polynomial, approaching every right to point the data curve. The kind of terms, these data points called breakpoints. Because only two points a straight decisions, and in between the two curves can be used an infinite number of cubic polynomial approximation. Therefore, in order for the outcome of uniqueness. The Cubic Spline, add the cubic polynomial bound by the conditions. By limiting each cubic polynomial of the first order and second-order derivative, it breakpoint in the same Department, we can better identify all internal cubic polynomial. In addition, the polynomial approximation of these breakpoints slope and curvature is continuous. However, the last one and a cubic polynomial in a breakpoint and the final one, not accompanied by polynomials. There)

Gram-Schmidt orthogonalization of vectors & lincomb formes the linear combination of matrices

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.)

自己写的角点检测程序，matlab版，来源于2D 3d image registration(Corner detection procedures, matlab version, harris Corner)

说明：  计算短路电流（1相，2相，3相）。需要自己画出节点图并输入(Calculation of short circuit current (1 phase, 2 phase, 3 phase). Need to draw their own map and enter the node)