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这是一个人工免疫算法的matlab工具箱。该工具箱可以根据不同的优化函数形式设置来用人工免疫算法来寻优(This is an artificial immune algorithm matlab toolbox. The toolkit is based on different settings to optimize the function of the form of artificial immune algorithm with excellent来寻)

给出纠错码性能测试仿真的一般方法，重点研究其信道差错序列的产生，然后利用Matlab实现卷积码编码及其Viterbi译码的性能测试仿真(Error-correcting codes are given the general simulation performance test methods, focus on the channel error sequence generated, and then the realization of convolutional codes using Matlab coding and Viterbi decoding performance test simulation)

说明：  simulation of PI controllers

运用压科比矩阵的电力系统潮流计算程序。matlab编程。(Flow calculation)

基于半监督的核主元分析matlab代码，基于半监督核主元分析matlab代码(Based on the semi-supervised KPCA Matlab code, Based on the semi-supervised KPCA Matlab code)

n point fft program which computes the dft of a function using cooley tukey techniques

说明：  水声目标识别34页图2-17仿真 分别使用仿真信号和实际船舶辐射噪声信号进行解调处理获得解调谱，以比较上述三种方法的解调效果。(The simulation signal and the actual ship radiated noise signal are respectively used to demodulate and obtain the demodulation spectrum to compare the demodulation effect of the above three methods.)

基天子matlab的双缝干涉从单缝(线光源)发出的单色光射到与之平行的双缝上，即可在双缝屏后获得来自双缝(相干光源)的两束相干光在空间叠加，用光屏承接后可获得干涉图样(在一定范围内出现等间隔明暗相间的平行干涉条纹；用白光做实验则可获得彩色干涉图样)．如果能在计算机上模拟出来.对(Matlab-based emperor s double-slit interference from a single slit (line source) the issue of parallel monochromatic light reach the double-slit can be in the double-slit screen was from the double-slit (coherent light source) of two coherent light beam in the space superimposed with光屏available to undertake after the interference pattern (in a certain range interval appears parallel white light interference fringes experiments using white light interference pattern, they can get color). If we can come out on the computer simulation. On)

qpsk位同步源程序 包括调制解调及信道加噪等(qpsk bit synchronization source, including modulation and demodulation and channel plus noise, etc.)

Simple but effective example of "Region Growing" from a single seed point. The region is iteratively grown by comparing all unallocated neighbouring pixels to the region. The difference between a pixel s intensity value and the region s mean, is used as a measure of similarity. The pixel with the smallest difference measured this way is allocated to the region. This process stops when the intensity difference between region mean and new pixel becomes larger than a certain treshold