1-2.py

经验模式分解法算法 发明人法国人frandlin-empirical mode decomposition algorithm inventor Frenchman frandlin

电子芯片规则检查语言，用于cadence-Electronic chip rule checking language, for the cadence

吉利大学时小虎老师机器学习课件――介绍GA算法-Geely University Tigers teacher machine learning courseware- Introduction GA Algorithm

说明：  全搜索算法重构图。像顾名思义，穷尽法就是对搜索范围内的每个位置都进行计算并比较，从原图像块中找到与待匹配块最相似（误差最小）位置的方法。对于一个搜索范围为[-7,7]的区域来说，x，y两个方向全部搜索一遍需要进行 15X15 = 225 次计算。穷尽法的缺点很明显就是计算量太大，速度很慢，另一方面，由于全部范围都进行了计算，其匹配精度是最高的。(Reconstruction graph of full search algorithm. As the name implies, the exhaustive method is to calculate and compare each position within the search range, and find the most similar (least error) position with the block to be matched from the original image block. For an area with a search range of [- 7,7], 15x15 = 225 calculations are required for searching both directions X and Y once. The disadvantage of exhaustive method is that the calculation is too large and the speed is very slow. On the other hand, the matching accuracy is the highest because all the ranges are calculated.)

这是用来接受GPS数据的串口调试助手,通过他可以轻松实现GPS接受机和PC机的通信-It is used to receive GPS data, serial port debugging assistant, through the he can easily achieve the GPS receiver and PC-communication

轻松开发微信公众号小程序,真正易上手的中国框架,配有中文文档(Easy Development of Wechat Public Number Small Program)

This thesis relates to the design, implementation and evaluation of statis¬ tical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on issues like background noise, lighting and position of key features (ie. the eyes, lips etc.). Using an approach which specifically uses an embedded Hidden Markov Model along with spectral domain feature extraction techniques, shows that these dependencies may be lessened while high recognition rates are maintained.

上海大学陈伯时主编-电力拖动自动控制系统PPt课件。 (Shanghai University, Chen Boshi Editor- Power Electronics and Electric Systems PPt courseware.)

BP神经网络的非线性系统建模——非线性函数拟合-源程序(Nonlinear System Modeling of BP Neural Network,Nonlinear Function Fitting)

说明：  my test file upload to test service