GAPID

该文件中包含信息熵和图像熵的计算 源程序，均为m文件形式 (The calculation of the image information entropy)

王晶《电力系统的MATLAB-SIMULINK仿真与应用》课本+仿真文件(Jing " MATLAB-SIMULINK Simulation and Application of Power Systems" textbook+ simulation files)

主要用于图像处理等方面，用途比较广泛，现有将其用于盲检测(Mainly used for image processing, etc.)

开发circonvt函数来计算序列的圆周移位 编写一个matlab函数，实现快速卷积算法(Development circonvt function to calculate the circumference of the shift sequence write a matlab function, fast convolution algorithm)

说明：  MATLAB是矩阵实验室（Matrix Laboratory）的简称，是美国MathWorks公司出品的商业数学软件，用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境，主要包括MATLAB和Simulink两大部分(MATLAB is Matrix lab (Matrix Laboratory) abbreviation, is the product of our company MathWorks business mathematics software for algorithm development, data visualization, data analysis and numerical calculation of the senior technical calculation language and interactive environment, mainly including MATLAB and Simulink two most )

MATLAB入门，通俗易懂，老外写的，有大量实例。(Getting Started with MATLAB)

水文趋势、突变点分析的matlab相关程序——水文时间序列变点分析的贝叶斯方法(Hydrological trends point mutation analysis matlab procedures- hydrological time series change point analysis, Bayesian methods)

在自重和温度载荷作用下的斜腿刚构桥的matlab有限元计算源程序，配套书籍是《ansys分析与matlab编程：徐荣桥》(Under its own weight and temperature loads inclined leg rigid frame bridge Matlab finite element calculation source, supporting the book is " ANSYS analysis and the matlab programming: Xu Rong bridge" )

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

说明：  利用LSSVM对数据进行训练，然后可以进行分类和预测，包括LSSVM工具箱。(LSSVM is used to train the data, and then classification and prediction can be carried out, including the LSSVM toolbox.)