sim

Developing applications on the CGI-Perl Kevin Meltzer Brent Michalski of the Russian language

灰色模型预测是在数据不呈现一定规律下可以采取的一种建模和预测方法，其预测数据与原始数据存在一定的规律相似性 下面程序是灰色模型GM(1,1)程序二次拟合和等维新陈代谢改进预测程序,matlab6.5 ,使用本程序请注明，程序存储为gm1.m(Gray model prediction is a kind of modeling and forecasting method which can be taken under certain regularity of data. The prediction data has some regular similarity with the original data The following procedure is the gray model GM (1,1) program quadratic fit and isometric metabolic improvement prediction program, matlab6.5, use this procedure please specify that the program is stored as gm1.m)

说明：  bp神经网络预测模型，可以很好的进行训练集和测试集建模，实用方便(BP neural network prediction model can model training set and test set very well, which is practical and convenien)

matlab（.doc）求解功率谱的各种方法，需重新调试；（.m）最大熵法求解功率谱,可直接用(matlab maximum entropy spectra estimation)

PSK通信编程仿真源程序(PSK communication simulation programming source)

this is an good edge detection

代码——Matlab 如何截取视频中的每一帧图像并保存(Code- Matlab how to intercept each frame in the video image and save)

photovoltaic characteristics Simulink model of photovoltaic cellule

This MATLAB exercise designs and implements a pitch period detector based on detecting and tracking peaks in the autocorrelation of the LPC error signal during regions of voiced speech. The pitch detection procedure is called the SIFT (Simple Inverse Filtering Tracking) method. The SIFT pitch period detector uses a secondary autocorrelation peak in order to detect and correct pitch period detection errors due to effects such as pitch period doubling and related phenomena.

leaf recognition by Flavia