primary_math_modeling

ORC matlab application

说明：  最大流问题，一种组合最优化问题，就是要讨论如何充分利用装置的能力，使得运输的流量最大，以取得最好的效果。求最大流的标号算法最早由福特和福克逊于1956年提出，20世纪50年代福特、福克逊建立的“网络流理论”，是网络应用的重要组成成分。(Maximum flow problem, a combinatorial optimization problem, is to discuss how to make full use of the capacity of the device to maximize the flow of transport in order to achieve the best results. The labeling algorithm for maximum flow was first proposed by Ford and Fulkerson in 1956. The network flow theory established by Ford and Fulkerson in 1950s is an important component of network application.)

Digital ImageProcessing Using MATLAB 数字图像处理（MATLAB版） 冈萨雷斯和伍兹所著 这本书的matlab代码编译后的文件 可以在matlab中使用 (Digital ImageProcessing Using MATLAB digital image processing (MATLAB version) written by Gonzales and Woods book compiled matlab code files can be used in matlab)

说明：  数字通信16QAM，16QPSK的实现思路及分析，报告详细，有误码率的分析(Digital communication 16QAM, 16QPSK implementation ideas and analysis, report details, there is the analysis of bit error rate)

说明：  用小波多尺度分析进行基于医学图像形状特征的检索.(wavelet multiscale analysis based medical image retrieval features of the shape.)

The uploaded file is the Cam-Clay code for drained path which is written in matlab software.

This program is used for Count the number of character in line

这是数据分析与解方程较常用的代码，用于matlab软件。(matlab)

该算法主要实现将经纬度变换成大地坐标，其主要用在海试等外场试验中。(The algorithm to realize the coordinates transform into the main geodetic coordinates, its main use in the field test and try. )

Abstract— In the area of image processing, several methods of edge detection have been proposed till now like Sobel, Robert, Prewitt, Canny, Marr-Hildreth etc. All these methods are having their own advantages and disadvantages. In this paper a new method has been proposed for edge detection using Cellular Automata. Different rules have been applied for edge detection. The outputs are better in terms of clarity and computation time. Finally, the edge detection has been applied for detecting cancerous cells in brain. Using Cellular Automata rules helps in determining the exact location and size of tumor as edges detected using Cellular Automata are fine, continuous and clear. The results