pegasis

Matlab的编程例题，关于BP神经网络的PID温度控制(Matlab programming examples on BP neural network PID temperature control)

CoSaMP算法，在重构信号时，选取两倍稀疏度的原子来恢复原始信号，再删去一倍稀疏度的原子。(CoSaMP algorithm, in the reconstructed signal, select twice the atomic sparsity to recover the original signal, and then deleting the double sparsity of atoms.)

FFT蝶形运算,C 语言,可有MATLAB M 语言转换实现(FFT butterfly computation, C language, MATLAB M language can be converted to achieve)

本程序为基于RBF神经网络上界自适应学习的滑模控制，适用于实际无法测量上界值的情况。(This procedure is based on the RBF neural network to learn the upper bound of adaptive sliding mode control, can not be applied to the actual measurement of the upper bound values.)

说明：  基于细菌觅食算法的MPPT算法，可以用来做课设，方便实用！(MPPT algorithm based on bacterial foraging algorithm)

光流运动估计算法，对各种情况下图片都有效果(optical flow)

像的许多个空间中的一个。不管子空间的具体形式如何，这种方法用于图像识别的基本思想 都是一样的，首先选择一个合适的子空间，图像将被投影到这个子空间上，然后利用对图像 的这种投影间的某种度量来确定图像间的相似度，最常见的就是各种距离度量。(Like much of a space. Regardless of the specific sub-space form, this method has been applied to image recognition are the same basic idea, first of all, select an appropriate sub-space, image will be projected onto this subspace, and then use the image projection of this inter- some measure to determine similarity between images, the most common is that all kinds of distance measure.)

本程序能实现离线的数字识别，在MATLAB下运行，同时可以用其中部分代码实现图像的灰度，二值化，细化，归一化等功能，采用Bp神经网络。(This procedure can achieve the number of off-line identification, in the MATLAB run, at the same time part of the code can achieve one of the gray-scale images, binarization, thinning, and other functions normalized using Bp neural network.)

说明：  初学者学习matlab的好参考资料，重点明确，结构清晰。(Matlab beginners to learn a good reference, with a clear focus, clear structure.)

mc-cdma matlab下的性能仿真(mc-cdma Matlab under the Performance Simulation)