CCPP-based-on-BP-net

direction finding Algorithm of ESPRIT Demo

讲述了遗传算法，内容全面而且易懂，适用于初学者的(About genetic algorithms, comprehensive and understandable for beginners)

一个计算多维定标（MDS）的matlab源代码，用于高维数据的维数约减(A calculation of multidimensional scaling (MDS) of the matlab source code for the high-dimensional data, dimensionality reduction)

Gradient Adaptive Laguerre Lattice Filter( Description： Implements the order recursive adaptive laguerre filter from Fejzo and Lev-Ari (1997). Advantages: *Fewer parameter to model than FIR filters modeling long impulse responses *guaranteed stability, unique global minimum, small number of parameter for prescribed modelling error *numerically robust & and low computational complexity ( O(M) ). *Fast convergence (RLS equivalent) with no apriori learning rate required *Order recursive, so filter coefficients are uncorrelated with each other, allowing for modular implementation. Setting the pole parameter to 0 yields the standard classical gradient adaptive FIR algorithm. Includes simple example on cross-talk resistant echo cancellation to show how to use it. )

最小二乘法Matlab编程实现//最小二乘法Matlab编程实现(Least Squares Matlab Programming Least Squares Matlab Programming )

Histogram equalization base.

这是有关matlab结课作业，是我们几个同学集体努力做得论文，也许对大家有用。(This is the matlab Guitar Lesson operations, is our collective efforts of several students doing papers, and perhaps useful to everyone.)

Image RGB colour space conversion to HSI colour space code

针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)

使用MATLAB进行编程，对相应的图片进行模糊处理(blurring the pictures)