2ASK1

kfcm，为模糊核聚类算法，用于将低维的数据映射到高维进行分类，是较先进的算法(kfcm, the fuzzy kernel clustering algorithm for low-dimensional data is mapped to high-dimensional classification, is a more advanced algorithms)

说明：  介绍在matlab下，运用时域有限差分法（FDTD),分析计算方法(Introduced in matlab, the use of finite difference time domain method (FDTD), Analysis and Calculation)

采用Gauss消去法求解线性方程组AX=B，M为求解方式。当M=0，则采用顺序消元；当M=1时，采用模最大的列主元；当M=2时，采用模最小的列主元(Gauss cal)

多尺度图像处理，包括边缘检测等，matlab分模块函数编写(multiscale image processing，inculding edge detecting by matlab)

极值分布的参数的极大似然估计，并绘图比较(Extreme value distribution parameters of maximum likelihood estimation, and drawing comparison)

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.)

水下机器人控制matlab仿真，对水下机器人控制的仿真有很大帮助，内含好多源代码(Underwater robot control matlab simulation of underwater robot control simulation , containing a lot of source code )

基于遗传交叉的粒子群优化算法有很好的计算效果(Genetic cross-PSO has good calculation results)

线性调频信号雷达脉冲压缩仿真及程序，chirp信号的产生，压缩及效果(LFM singal simulation)

空时阵列信号处理的三个程序，考察对角加载的效果(Three procedures, the space-time array signal processing and investigated the effect of diagonal loading)