45699GAtools

图像处理中的自适应中值滤波源代码，多多下载，很有用(the source code about adaptive median filter )

vector control permanent magnetmotor

语音增强算法，基于LsA-MMSE方法，并对其先验信噪比估计器进行了修改，具体过程参看Isal的论文。语音间隙间的音乐噪声也消除了。(speech enhancement algorithms, based on LsA- MMSE, and signal-to-noise ratio of its prior estimate for the changes, See specific process Isal theses. Voice gap between the music also eliminate the noise.)

功能[DATAOUT]= PGA（DATAIN），执行相位梯度 ％ISAR自动对焦。 ％ ％DATAIN ISAR范围内的实时数据。 DATAOUT％范围内的实时数据已被删除平移 ％相位误差。 ％ ％参考： ％D.E.瓦尔，P.H.艾歇尔，特区吉利亚，C.V. Jakowatz，“相 ％梯度自聚焦一个强大的工具，用于高分辨率SAR相 ％修正“，硕士论文。航空。＆电子系统，第30卷，3，1994。(function [dataout]=PGA(datain) performs phase gradient autofocus of ISAR. datain is range-time data of ISAR. dataout is range-time data that have been removed translational phase error. Reference: D.E. Wahl, P.H. Eichel, D.C. Ghiglia, C.V. Jakowatz, "Phase gradient autofocus-a robust tool for high resolution SAR phase correction," IEEE Trans. Aero. & Elec. Sys., vol. 30, no. 3, 1994.)

《有限单元法教学实习程序汇编》内容简介 汇编了四个有限单元法程序（平面刚架计算程序FEM2.FOR、平面三结点三角形单元计算程序FEM3.FOR、平面四结点等参数单元计算程序FEM4.FOR和空间八结点等参数单元计算程序FEM8.FOR）。其中FEM2.DAT、FEM3.DAT、FEM4.DAT和FEM8.DAT为四个算例的输入数据文件。为了便于读者读懂程序，对每个程序做了详细注解。(A compilation of four finite element method program (plane frame calculation program FEM2.FOR, flat three node triangular element calculation program FEM3.FOR, flat four nodes and other parameters and space unit calculation program FEM4.FOR eight nodes, etc. parameter unit calculation program FEM8.FOR). Which FEM2.DAT, FEM3.DAT, FEM4.DAT and FEM8.DAT four examples of input data files. To help readers understand the program, for each program in detail annotations.)

小波谱mallat实现算法,可以利用小波进行mallat分解。(Small spectral Mallat algorithm implementation，Can be used to carry out Mallat wavelet decomposition.)

实现rgb图像到raw格式的image的转化。(it can use to change the rgb image into raw image.)

简单快速近邻算法是一种典型的模式识别方法：在二维平面一矩形范围内随机产生训练样本，任意划分为三个区域，用快速近邻法确定待识别实验样本的所属分类。(Simple and fast nearest neighbor algorithm is a typical pattern recognition methods: randomly generated training samples in a rectangular range of two-dimensional plane, arbitrarily divided into three regions to determine the unknown experimental samples of Class fast nearest neighbor.)

数理统计与MATLAB的原程序，供大家学习交流(Mathematical Statistics with MATLAB original procedures for the exchange of U.S. study)

3Dimension of SLAM asks the following question: “Is it possible for an autonomous vehicle to start in an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute vehicle location ?