duffing-Phase-plane

李雅普洛夫指数工具箱，但好像程序总是有问题，求高人指导(Index LE toolbox, but it seems that the program always have a problem, seek the expert guidance)

模态分析程序，一定要有实验现场的数据，要不运行不了(Modal analysis program, there must be experimental field data, or not running)

利用MATLAB实现图像拼接，所谓图像拼接就是将有共同点的两张或者多张图像进行融合。(Use MATLAB to achieve image mosaic, image mosaic is the so-called common ground will be two or more fused images.)

基于变分贝叶斯里理论的图像超分辨率重建技术，对于理解超分辨率技术有一定帮助。(In theory based on variational Bayesian image super-resolution reconstruction technique for understanding the super-resolution technology has certainly helped.)

通过一个单一的合成器实现众多乐器和音效的控制。我们要做的工作就是通过一定的方法合成一段不少于30秒的音乐，并流畅播放。设计中主要采用音调幅度调制的方式再现乐曲。(A number of musical instruments and sound control through a single synthesizer. We work to be done is through the method of synthesis of a period of not less than 30 seconds of music, and smooth playback.The design of the main tone amplitude modulation reproduction of music. )

Arebic Speech Recog. using ANN and MFCC features ( Applied PCA )

利用類神經網路對Schwefel22測試函數建立模型，為此Schwefel22函數設立4個變數，模擬資料100筆，測試資料50筆，並將上述資料以倒傳遞類神經網路MATLAB2013a軟體，利用其具有學習及記憶能力加以訓練及測試(The use of neural network modeling of Schwefel22 test functions, established for this purpose Schwefel22 function four variables, simulation data 100 pen, 50 pen test data, and these data to back-propagation neural network MATLAB2013a software, the use of which has learning and the ability to be trained and tested memory)

对图像进行逐点计算，并且取最大值和最小值的差值作为该点新的灰度值。 在区别边缘点和非边缘点时，首先确定一个阈值T，若图像中像素点的新 值大于该门限值，则可以初步确定为边缘点，小于T的新值被判断为非边缘点.(Image point by point basis, and taking the maximum and minimum points of difference as the new gray value. Edge in the difference between point and non-edge point, first determine a threshold T, if the image of the new pixel value is greater than the threshold, you can initially identified as the edge point, the new value is less than T have been judged as non-edge point.)

说明：  matlab信道模型，对OFDM信道建模，统计错误概率，并于直接传输的错误率比较。(Matlab channel model, the right OFDM Channel modeling, statistical probability of error, and direct transmission error rates.)

Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapelet basis functions results in an implicit integration of the surface while enforcing surface continuity. Note that the reconstruction is only valid up to a scale factor (which can be corrected for). However the reconstruction process is very robust to noise and to missing data values. Reconstructions (up to positive/negative shape ambiguity) are possible where there is an ambiguity of pi in tilt values. Low quality reconstructions are also possible with just slant, or just tilt data alone. However, if you have full gradient information you are better off with the Frankot Chellappa algorithm below.