volerraa

％％％ Demos for PUMA algorithms ％％％ We present four matlab demos for PUMA. demo1, demo2, demo3, and demo4 illustrate PUMA working with different parameters and with four different images. All you need to do is to run each of the demos. Please be sure that all the files are put on an accessible path for matlab. Notice that this code is intended for research purposes only. For further reference see "Phase Unwrapping via Graph Cuts, IEEE Transactions on Image Processing, 2007( Demos for PUMA algorithms We present four matlab demos for PUMA. Demo1, demo2, demo3, and demo4 illustrate PUMA working with different parameters and with four different images.All you need to do is to run each of the demos . Please be sure thatall the files are put on an accessible path for matlab.Notice that this code is intended for research purposes only.For further reference see )

MATLAB中代码矢量化的经典指南，非常实用。 (MATLAB code vector of the classic guide, very practical.)

实现输入一串数字，然后matlab可以将数字对应的蜂鸣音播放出来（类似于电话的拨号）(Achieve input a string of numbers, then you can figure corresponding matlab beep play out (similar to dial-up phone))

时频窗口选取并计算，有效选择时频窗口。对初学者有用(yields a window of length N with a given shape)

Implement the K nearest neighbor algorithm by your own instead of using available software. 2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result. 3. Train the classifier using your training dataset, and test the classifier using your testing dataset. 4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.

说明：  convert binary numbers into decimal numbers and anthor convert decimal into binary

给出了如何使用伪逆滤波器的matlab代码(give a matlab code of pseudo-inverse filter)

说明：  MANN-KENDALL, 这个应该也是好用的啦(MANN-KENDALL, this should also be a useful Rights)

雷达系统鉴别于基于matlab设计 英文版(Radar Systems Analysis and Design Using MatLab)

用于计算二维相关光谱，P为同步二维相关光谱，Q为异步二维相关光谱； % data为m*n的光谱m为波长点数，n为样品数；(Two dimensional correlation spectroscopy)