suite-DETECTION1

matlab对时间序列数据进行滤波以满足计算需求(matlab time series data is filtered to meet the computing needs)

series compensator facts devicesd

本上传资料为maatlab教程，可通过此教程学习matlab，涉及面广。(The upload information to maatlab tutorials, available through this tutorial to learn matlab, involving a wide range.)

说明：  图像潜载信息映射技术,基于matlab基础知道编程使之能够在公开图中潜载隐藏另一幅图象。(the technology about translating the image embeded )

用matlab编程，，，实现连续属性离散化，，找出断点值(Matlab programming, and to realize the continuous attribute discretization, and find the breakpoint)

Frame Difference in image processing

说明：  电力系统中的牛顿拉夫逊算法实现潮流计算，Matlab实现，可以直接读取数据，目前110节点适用(Power System Newton Raphson power flow algorithm, Matlab implementation, you can read the data for the current node 110)

对进行过高斯噪声处理的图像进行均值滤波的MATLAB代码（原创）。(The Mean Filtering algorithm for a figure processed by Gauss noise.)

This MATLAB M-file will produce the FDTD solution of a sectoral (2-D) Perfectly Electric Conducting (PEC) horn antenna excited by a sinusoidal voltage in a TEz computational domain.(This MATLAB M-file will produce the FDTD solution of a sectoral (2-D) Perfectly Electric Conducting (PEC) horn antenna excited by a sinusoidal voltage in a TEz computational domain.)

Plant Classification is the placing of known plants into groups or categories to show some relationship. They use features that can be used to group plants into a known hierarchy. This research focuses on the mobile based application for plant identification through leaf recognition. Apart using the whole plant, the automation of plant identification can be performed using various parts of a plant anatomy like stem, flower, petal, seed and leaf. This study uses the leaf part of the plant to identify a plant. The ease of creating digital images increased the need for processing power of computers and inexpensive methods. In order to gather the information, plant identification using computers has become an interesting subject of research. Global shortage of expert has further increased the demand for semi automated tools that would allow non-botanical persons to carry out valuable field work of identifying and characterizing plants.