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数值分析---部分算法 希望对需要的人有一点点用！(--- Part of numerical analysis algorithm wishes to people in need have a little bit of use!)

说明：  蚁群算法程序，能很好的帮组初学者对蚁群算法的理解。希望对你有所帮助。(Ant colony algorithm program, can help set a good understanding of the ant colony algorithm for beginners. I hope for your help.)

为了克服用硬件电路实现混沌信号的困难，本文采用MATLAB/Simulink 软件对蔡氏电路进行仿真研究。实验结果 表明，蔡氏电路结构简单，具有极其丰富的动力学行为，提高了通信的安全(In order to overcome the chaotic signal with a hardware circuit difficulties, we use MATLAB/Simulink software simulation of Chua' s circuit. Experimental results show that the Chua' s circuit structure is simple, extremely rich in dynamics, to improve the security of communications)

chirp信号产生比较 If you are aware of this and would still like to have a pseudo-chirp then you can take a look at the example below. I show the difference between trying to generate the type of chirp you are after and a real chirp signal. I also plot the derivative of the resulting signals, so I can highlight that between half cycles you will have a sometimes subtle (sometimes not so subtle) jump in gradient. (chirp signal generation If you are aware of this and would still like to have a pseudo-chirp then you can take a look at the example below. I show the difference between trying to generate the type of chirp you are after and a real chirp signal. I also plot the derivative of the resulting signals, so I can highlight that between half cycles you will have a sometimes subtle (sometimes not so subtle) jump in gradient. )

本人的毕业论文的PPT。关于图像标注的。使用GMM和CCA做的。(My thesis PPT. Marked on the image. Using GMM and CCA do.)

应用LQG算法对一个一通进行镇定控制，希望对大家有用(The LQG algorithm is applied to a conducting stabilization control, in the hope that useful)

在8*8子图像块前提下，不同压缩比对图像压缩效果的影响(8* 8 sub-image block under the premise of different compression than the image compression)

Deconvolution of Images

说明：  该课题为基于MATLAB的bp神经网络的交通标志识别系统，可以识别禁令标志，警示标志，指示标志三种标志，带GUI界面，流程为，输入测试图，训练，定位，分割，识别。可自动识别是三种中的哪一种。定位是采用颜色的方法，分割是几何位置分割，识别bp神经网络。注释详细。(This project is a traffic sign recognition system based on BP neural network of MATLAB. It can recognize three kinds of signs: prohibition sign, warning sign and indication sign. It has GUI interface. The flow is: input test chart, training, positioning, segmentation and recognition. Which of the three can be automatically identified. The location is based on the color method, and the segmentation is based on the geometric position segmentation to recognize the BP neural network. Note details.)

基于神经网络的用电量预测，采用Matlab实现(Power consumption based on neural network prediction, the use of Matlab to achieve)