Pade

denoising filters such as Average, Median, Gaussian, Wiener, Min-order-statistic, Maxorder-statistic and Median-order-statistic are used. Based on the images obtained by the mentioned filters, it is become obvious clear that for the given noisy image the Min filter acted much better than the other filters. Order-statistic Median and Gaussian filters are the ones that have a second and third good result respectively. That is way can conclude that the existing noise in the given image was Salt noise.

Program of publication "Fast Channel Shortening with Polynomial Weighting Functions" sub-pg_of_fig5and6

说明：  这个代码是GPC的源程序，可以直接进行GPC仿真。(The GPC of the source code can be directly GPC simulation.)

100kW三相光伏并网详细模型 MPPT使用增量电导法(Detailed model of 100 kW three-phase photovoltaic grid-connected MPPT uses incremental conductivity method)

FPGA可实现的，使用cordic算法的NCO模块混频模块。该模块基于cordic原理，算法中只需要加法和移位运算既可以完成信号的混频功能(FPGA can be achieved, the use of the NCO cordic algorithm module mixing module. Cordic module based on the principle, the algorithm only needs Adder and shift operator can complete signal mixing function)

Applied Optimization with Matlab Programming - P. Venkataraman.pdf

基于Matlab的地质统计学程序包，包含克里金方法，变差函数，高斯序贯模拟等(Geostatistical Matlab-based package, including Kriging, variogram, sequential Gaussian simulation)

the pdf about expert system

处理lasso regression。 使用stochastic Markov property。(Algorithm for solving the Lasso problem: 0.5* (y- X*beta) *(y- X*beta)+ lambda* ||beta||_1 where ||beta||_1 is the L_1 norm i.e., ||beta||_1 = sum(abs( beta )) We use the method proposed by Fu et. al based on single co-ordinate descent. For more details see GP s notes or the following paper: Penalized Regressions: The Bridge Versus the Lasso Wenjiang J. FU, Journal of Computational and Graphical Statistics, Volume 7, Number 3, Pages 397?416, 1998 )

在对图像进行处理时需要计算图像的分维数，此函数就是用来计算图像的分型维数(In the process of image processing, it is needed to calculate the fractal dimension of the image, which is used to calculate the fractal dimension of the image)