PSO

artificial inteligence system to determine high angular frequency in matlab

计算图像直方图。给定图像，得到图像的直方图。(computing the histogram)

Fuzzy Clustering Initialization

这是关于MATLAB中GUI部分设计的书籍，讲解详尽(This is part of the MATLAB GUI design books, explain detailed)

该函数能快速的实现对图像分c均值聚类,打包文件中含有完整的程序，还有图片(This function can quickly realize the image points c-means clustering, the archive file contains the complete program, as well as pictures)

matlab的libsvm，一个很好的应用案例，很适合初学者。(matlab for libsvm, a good application case, it is suitable for beginners.)

此为利用小波来进行去噪处理的几种程序举例，期中包括wnoise 函数测试去噪、图像噪声处理、图像用户界面（GUI）的压缩和去噪声处理三方面。(This is to use wavelet denoising examples of several programs, including wnoise function test period denoising, image noise processing, graphical user interface (GUI) of the compression and to deal with three aspects of noise.)

it is PCA-LDA matlab code. (feature reduction)

模拟退火算法的基本思想是从一给定解开始,从邻域中随机产生另一个解,接受Metropolis准则允许目标函数在有限范围内变坏,它由一控制参数t决定,其作用类似于物理过程中的温度T,对于控制参数的每一取值,算法持续进行“产生—判断—接受或舍去”的迭代过程,对应着固体在某一恒定温度下的趋于热平衡的过程,当控制参数逐渐减小并趋于0时,系统越来越趋于平衡态,最后系统状态对应于优化问题的全局最优解,该过程也称为冷却过程,由于固体退火必须缓慢降温,才能使固体在每一温度下都达到热平衡,最终趋于平衡状态,因此控制参数t经缓慢衰减,才能确保模拟退火算法最终优化问题的整体最优解。(Simulated annealing algorithm based on the idea that a given solution from the beginning, randomly generated from the adjacent domain to another solution, Metropolis acceptance criteria for the objective function to allow a limited range of deterioration, which is a control parameter t decided that its role is similar to the physical the course of the temperature T, the control parameters for each value, the algorithm continued to "have- to determine- to accept or rounding" of the iterative process, corresponding to a solid at a constant temperature of the process tends to thermal equilibrium, when control parameters and tended to decrease gradually 0:00, the system equilibrium state more and more, and finally the system state corresponds to the optimization problem of global optimal solution, the process is also known as the cooling process must be slow as a result of annealing temperature of solid to make solid temperature in each of them had attained thermal equilibrium, and ultim)

压缩感知程序源码，Blind compressed sensing (BCS)不需要在采样和恢复阶段预先知道稀疏基。源码对于研究压缩感知前沿具有很好的借鉴意义。(The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measurements. However, prior knowledge of the sparsity basis is essential for the recovery process. Blind compressed sensing (BCS) avoids the need to know the sparsity basis in both the sampling and the recovery process. That is, BCS aims at recovering an ensemble of vectors, all sparse under the same unknown basis, given small number of linear measurements of these vectors. )