UpData

Classes and resources to a cocos2d project. For learning purposes.

Open Comp Port Palang Parkir

说明：  在线序列ELM （Online Sequential ELM，OS-ELM）是可以使用实时数据进行学习并更新输出权重的ELM算法。(Online sequential elm (OS-ELM) is an elm algorithm that can use real-time data to learn and update output weights.)

chotoicaidinhanhlen phan mem lap trinh plc

VC++ 6.0源代码程序，功能是利用DirectShow播放视频文件(Use directshow to play video)

在电机参数随着系统运行变化时，通过递推最小二乘法在线参数辨识获得实时更新的电气参数，减小系统运行的误差(When the motor parameters change with the system operation, the real-time updated electrical parameters are obtained by the recursive least square method on-line parameter identification, and the error of the system operation is reduced.)

用C++实现fft运算，经验证与matlab计算结果一致(A program in C Plus to realize Fast Fourier Transform,the results are consistent with calculation results by MATLAB.)

说明：  本代码演示了PDFLIB中的文本输出函数的使用.(demonstration of the code of PDFLIB text output function use.)

Compared to the development of computers, or the Internet, or even cars, the evolution of aviation equipment appears to be very unhurried. Several factors contribute to this very gradual pace, but one of the most important is the extreme care with which any innovation affecting safety has to be examined, evaluated, analyzed, and tested. Satellite navigation equipment for aircraft is not an exception, so predicting its future for the next20 years is relatively easy compared to predictions for other fields. In this paper first of all we will describe briefly the challenges that satellite navigation must solve to be available solution for aviation. Then, we will describe the systems that have been developed to overcome these challenges and the performance they offer today, or will offer very soon. There is currently an explosion in satellite Navigation: before the end of this decade there will be over three times more satellites, offering civil signals in two distinct frequencies (as opposed to one today).

说明：  主成分分析图像，分析图像像素组成部分，高维提取低维特征(Principal component analysis image, analysis of image pixel components, high dimensional extraction of low dimensional features)