waveletpaper

说明：  分形图像压缩原始算法，包括压缩和解压。 根据Jacin的分块压缩原理(fractal image compression original algorithm, including compression and decompression. According to the sub-block Jacin compression Principle)

说明：  This code simulated one dimensional structure resonance by moment method

nmap最新windows环境下的源代码，对提高大家的编程能力有很大帮助(The latest source nmap windows environment, to improve our programming skills are very helpful)

说明：  应用潮流程序,想怎样 就怎样,大家要是想要就拿去 我留着也是留着!(application of power flow)

IMCORR corrects image coordinates, which are contaminated by radial and tangential distortion(IMCORR corrects image coordinates, which are contaminated by radial and tangential distortion)

读取csv文件 可以实现与matlab交互用，或与其他文件交互，程序较小但可用(read vsc files Interacting with Matlab can be achieved using the Read CSV file, or interact with other documents, the program small but can be used)

The concerns for environment due the ever increasing use of fossil fuels and rapid depletion of this resource have led to the development of alternative source of energy such as solar energy. This paper proposes that how to increase the efficiency of a solar PV energy system by the advancement in conventional DC to DC Boost converter. This paper also proposes the study of open loop systems with elevated step-up conversion and step amplify in input voltage. An improved DC to DC boost converter is modeled and simulated using MATLAB. This improved boost converter provides the constant output voltage irrespective of the variable output voltage. The simulation results of this system are presented and compared. The result of the improved boost converter is also compared with the conventional boost converter. This result verifies that with the minimum number of components the proposed improved boost converter system has the advantages of high efficiency.

我们一般习惯于解线性方程，对于非线性方程我们可以借助matlab进行解答(We used solutions of general linear equation, the nonlinear equations can be answered with matlab)

Median Filtering using MATLAB for filtering image

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.