homework-1

说明：  folyd用来处理图论中最短路径问题。对传统的folyd算法进行了优化。(folyd to deal with the shortest path in graph theory problem. Folyd the traditional optimization algorithm.)

粒子群优化的kriging近似建模程序包DACE-PSO，matlab程序，比传统的dace程序设置更少的参数(PSO kriging approximation modeling package DACE-PSO, matlab program package than traditional dace advantage: without determining Sigma parametersdetermine the Sigma parameters)

PAST算法的实现,用matlab语言，简单粗略版本(implementation of PAST)

passive suspension model

说明：  FSK信号的解调，采用最原始底层语言编辑各模块实现(FSK signal demodulation, adopt the most primitive language editing each module implements bottom )

matlab GUI （各种图像处理）算法实例(matlab GUI)

根据给定的时间序列求混沌参数的互相关算法。(Cross-correlation algorithm according to the sequence of a given time requirements chaos parameter.)

DS0 project using GCC.rar source DSONano

用Matlab神经网络实现的字符识别。可借鉴于数字识别等。(Matlab neural network of character recognition.Can be for reference in digit recognition, etc.)

汽车牌照识别中车牌定位问题。车牌定位分为两步进行，首先对车牌进行初定位，对初定位后的车牌图像进行二值化、几何矫正，然后再精确定位车牌区域。同时，在matlab环境下仿真了汽车牌照识别，仿真结果表明，本文算法能很好的识别汽车牌照。(The problem of car license plate location. License plate location is divided into two steps, first at the beginning of vehicle license plate location, license plate on the positioning of the image at the beginning of two, the value of geometric correction, and then the accurate location of the license plate area. At the same time, in the MATLAB simulation environment of the vehicle license plate recognition, the simulation results show that, this algorithm can be a very good car license plate recognition.)