ARQ

Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM) have been proposed to do classification on the extracted features. A popular Brodatz texture album had been chosen to test out the result. In this study, a combined GLCP-GSVM shows an improvement over GLCP in terms of classification accuracy.

融合压缩感知与网络编码的多速率与变速率传输(sensing with network coding.)

组合预测模型，五个单项模型的组合预测模型和两个单项模型组合的预测模型(Combination forecasting)

本文是基于分布式的算法的firl的设计，大家可以参考一样，写成了文档形式，改一下，可以直接使用。(Design of Distributed firl)

带近似单位脉冲的状态方程模块构成的仿真模型，是用matlab语言编的(pulse units with approximate equation of state module consisting of simulation models using Matlab is the language of the provision)

bayes classifier and it s performance

【matlab编程代做】matlab从图形坐标转换图像 可以作为参考使用 学习([Do] matlab matlab programming on behalf of the coordinate transformation graphic images can be used as a reference study)

决策树分类程序，包含使用的数据集和运行结果(Decision tree classifier, including data sets used and running results)

说明：  T型三相两电平DCAC仿真，中间利用PI调节PWM对逆变器进行控制(T-type three-phase two-level DCAC simulation)

Large Graph Analysis in the GMine System