abfilter

基于地理位置的距离贪心路由协议GPSR的matlab仿真代码(Matlab simulation code based on geographical distance greedy routing protocol GPSR)

上述两个文件分别是遗传算法和包括侧倾的三自由度车辆模型，遗传算法(GA)主要用于辨识三自由度车辆模型参数，主要辨识的参数有前后轴等效侧偏刚度、整车绕X轴和Z轴的转动惯量、质心位置、悬架侧倾刚度和阻尼等关系参数。(The above two files are respectively a genetic algorithm and a three-degree-of-freedom vehicle model including a roll. The genetic algorithm (GA) is mainly used to identify the parameters of a three-degree-of-freedom vehicle model. The main parameters identified are the front and rear axle equivalent cornering stiffness and the entire vehicle. Rotational inertia, centroid position, suspension roll stiffness, and damping relationship parameters around the X and Z axes.)

典的三代相干体算法C1/C2/C3,用于地震资料解释中(compute coherency in seismic interpretation)

我写的用于绘制绘制矩阵图形的小程序，要求matlab版本在6.0以上。-I write for rendering graphics rendering matrix of small procedures, requirements in Matlab version 6.0 and above.

特征提取，fastPCA ,matlab 源码(Feature Extraction, fastPCA, matlab source)

说明：  一维的基于时域有限查分方法的MATLAB程序，初学者学习FDTD用(One-dimensional time-domain finite-based methods of investigation points MATLAB program for beginners to learn to use FDTD)

MCS51单片机软件实验，实验中包含了相关程序结果(MCS51 Microcontroller Software The experimental procedures included the results)

运动模糊角度鉴别 傅里叶变换法 直方图均衡化Radon变换(identify motionblur by fft radontransform)

本程序主要是实现fisher线性分类器的功能，主要应用于隐写分析中的分类情形。(fisher linear classifier)

The codes included here require Matlab platform 7.0.0 or higher. The source codes have been written by the students who have undergone this subject. The codes are problem specific and not general. The principle aim was to develop softwares for illustration of computational methods and are generally far from optimal. Knowledge of any computer language is sufficient to change the parameters in the codes. A person well versed in Matlab should be able to modify these codes or write their own. It is a common knowledge that understanding the codes written by others is not a pleasant experience. Therefore, useful comments have been added in the codes to help users.(The codes included here require Matlab platform 7.0.0 or higher. The source codes have been written by the students who have undergone this subject. The codes are problem specific and not general. The principle aim was to develop softwares for illustration of computational methods and are generally far from optimal. Knowledge of any computer language is sufficient to change the parameters in the codes. A person well versed in Matlab should be able to modify these codes or write their own. It is a common knowledge that understanding the codes written by others is not a pleasant experience. Therefore, useful comments have been added in the codes to help users.)