pushang

基于瞬时无功功率算法的谐波电流检测算法，有很好的谐波检测效果(Based on the instantaneous reactive power algorithm of harmonic current detection algorithm)

GPS TOOLBOX包含以下内容： 1、GPS相关常量和转换因子； 2、角度变换； 3、坐标系转换：  点变换；  矩阵变换；  向量变换； 4、专用测绘程序； 5、专用统计函数； 6、GPS时间工具； 7、专用GPS数据处理函数； 8、航迹和相关工具； 9、卫星位置计算； 10、高度和方位角判定，以及卫星可见性； 11、DOP（dilution of precision）计算，卫星选取和相关函数； 12、专用信号处理和Kalman滤波函数； 13、伪距和误差判定及相关函数； 14、用户位置判定及相关函数； 15、RAIM/FDE可用性和完好性评估相关函数。 (GPS TOOLBOX contain the following elements: 1, GPS-related constants and conversion factor 2, the perspective transform 3, coordinate system conversion:  point transform  matrix transformation  vector transform 4, private surveying and mapping procedures 5, specialized statistical function 6, GPS time instrument 7, a dedicated GPS data processing function 8, track and related tools 9, satellite position calculation 10, height and azimuth determination, as well as satellite visibility 11, DOP (dilution of precision) calculation , satellite selected and related functions 12, special-purpose signal processing and Kalman filtering function 13, pseudo-range and error determination and related functions 14, to determine user location and related functions 15, RAIM/FDE availability and good assessment of correlation function.)

广义神经网络在预测中有广泛的应用，参数设置简单，值得学习。(Generalized neural network is widely used in the forecast, the parameter setting is simple, it is worth learning.)

说明：  遗传算法，粒子群算法，蚁群算法，人工鱼群算法，BP神经网络，支持向量机等算法案例分析及源码(Genetic algorithm, particle swarm optimization, ant colony algorithm, artificial fish swarm algorithm, BP neural network, support vector machine and other algorithm case analysis and source code)

基于DDE技术的MATLAB与WinCC通信设计(DDE technology based on MATLAB and WinCC Communication Design)

have adapted the PSO to search in binary spaces

经典的图像分割算法NCut的Matlab代码。(Matlab code of classic image segmentation algorithm NCut .)

说明：  Distributing advanced technique for the cockpit.

Inverted pendulum examples, matlab program

FourierICA是一种无监管的自适应学习方法，用于盲源分离问题，将短时傅里叶变换STFT与独立分量分析ICA相结合。(FourierICA is an unsupervised learning method suitable for the analysis of bss.The method performs independent component analysis(ICA) on short-time Fourier transforms of the data. )