High-power-double--lasers-Simulation

语音处理源程序，已经过调试，直接运行即可实现(Speech processing source program, have been debug, direct operation can be realized )

说明：  图形定位，包括常见的照片中一些所需要处理的特征的定位等(Graphic positioning)

查准率与查全率的计算代码。使用matlab编写完成的。可以计算图像标注的查准率与查全率。(Precision and recall rate calculation code. Prepared using matlab complete. Image annotation can be calculated with precision recall rate.)

This matlab code generates UWB indoor channel impulse response described in : Cassioli, D. Win, M.Z. Molisch, A.F., "The ultra-wide bandwidth indoor channel: from statistical model to simulations," Selected Areas in Communications, IEEE Journal on , vol.20, no.6, pp. 1247-1257, Aug 2002 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1021916&isnumber=21989 All parameters of the channel were taken from the reference paper

matlab code for genetic

基于元胞自动机模型模拟激发介质方法，源代码简单而实用(Based on the cellular automata model excitable media simulation method, and the source code is simple and practical)

Euclidean Distance Transform has been widely studied in computational geometry, image processing, computer graphics and pattern recognition. Euclidean distance has been computed through different algorithms like parallel, linear time algorithms etc. On the basis of efficiency, accuracy and numerical computations, existing and proposed techniques has been compared. This study proposed a new technique of finding Euclidian distance using sequential algorithm. An experimental evaluation has shown that proposed technique has reduced the drawbacks of existing techniques. And the use of sequential algorithm scans has reduced the computational cost.

车牌识别中建立 bp 神经网络 建立样本(License Plate Recognition)

同步发电机三相突然短路有阻尼绕组编程仿真，包含励磁短路电流，定子绕组短路电流。(Modeling and Simulation of the damping winding of synchronous generator three phase sudden short circuit, including the excitation current, stator winding short-circuit current.)

提取数据波形时域特征（绝对幅值、平均值、峭度、过零点）并且用LDA分类(Time-domain waveform data extraction features (absolute amplitude, mean, kurtosis, zero crossing) and classification with LDA)