lab1_discussion_question

说明：  可设置函数曲线图视角的用户界面，用matlab编写的具体实例可以设置函数曲线的用户自定义的设置(Function curve can be set to the user interface perspective )

Robust receding horizon predictive control for systems with uncertain dynamics and input saturation

matlab编写 基于电脑声卡的数据分析程序(matlab sound card soundcardSpectralAnalysis)

地球不转时的星下点轨迹，回归周期1天，可自行设定(Earth does not rotate when the nadir track one day return period)

this project is safe browsing project with BHO in IE

说明：  阈值基于matlab分析 程序经过实际操作研究 效果较好 非常合适(Very suitable threshold analysis program based on matlab after the actual operation better)

simulink建立的卡尔曼滤波算法，运行没问题！(simulink_kalman and matlab)

说明：  继续上次传的简单遗传算法，本次加入啦测试部分。(Continue to the last mass of the simple genetic algorithm, to join you in this part of the test.)

Load flow: This file is to solve the load flow problem in power systems

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.