xiaobobaofenjie

对含高斯噪声背景下的电泳信号进行消噪，在信号检测中有很好的参考价值。(signal denoising)

Evop algorith for optimization

灰测预测,预测一组波动性不是很大的程序，否则检结果不是很精确(Ash test predictions about the volatility is not a great program, or review the results is not very accurate)

lof function over gray level transformation image

给定观测序列和状态序列下估计HMM模型的参数(Given the HMM parameters under observation sequence and state sequence estimation)

采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)

说明：  永磁同步电机matlab，simulink仿真(Simulation of PMSM Based on MATLAB and Simulink)

讲述了卡尔曼在MATLAB中的应用以及几个样例，可以让读者理解其简单应用(Kalman described in MATLAB, as well as several sample applications that can help readers understand the simple application)

说明：  基于Reed_Solomon算法的DataMatrix条码纠错码的研究基于Reed_Solomon算法的DataMatrix条码纠错码的研究(DataMatrix bar code based on Reed_Solomon algorithm of error-correcting codes DataMatrix bar code based Reed_Solomon algorithm of error-correcting codes)

卡尔曼滤波跟踪改进算法,这种算法在原来的基础上进行改进，能够更好地实现其跟踪的过程。(the improvement of Kalman filtering s tracking algorithm)