phase_vocoder_edit2

some pdf files and matlab code related

说明：  用有限差分法求解电机槽电磁场的经典案例，对象为一个闭口槽，激励源为电流密度(Motor using the finite difference method to solve a classic case of slot fields)

程序中给出了水下机器人的平面运动模型,对于从事水下机器人研究的同学很有帮助(it will give a underwater unmanned vehicle s plane model)

Implementation of Transposition Cipher in C

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.

深衰落信道交织码的快速实现，非常适合初学者理解交织过程(Deep fading channel interleaving code quickly realize, very suitable for beginners to understand interleaving process)

基于快速傅里叶变换的去50Hz工频干扰算法，最后通过反傅里叶变换得到去干扰后信号(Based on fast Fourier transform algorithm to 50Hz frequency interference, and finally get back to the interference signal by inverse Fourier transform)

To do scrambling and inverser scrambling of array using a key (seed)

MATLAB实例，很有用的，我是llm,做的毕业设计就是和这个有关的，我想对大家有些帮助。(wward)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.