UWB_BPSK_Fifth_Order_Derivative

遗传算法(GeneticAlgorithm)实例(Genetic Algorithm (GeneticAlgorithm) examples)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)

QR二维条码模式识别，可有效识别出条码的模式信息(QR barcode pattern recognition, which can effectively identify the bar code mode information )

This code perform the DCT and quantization on all the channels without any sub-sampling and for the compression of color images, they are first converted to the YCbCr color format and vice versa, use the function rgb2ycbcr and ycbcr2rgb.

LVQ神经网络的预测——人脸朝向识别matlab源代码(LVQ neural network prediction- face towards the recognition matlab source code)

龙星计划机器学习的课件，李飞飞和邢波主讲(Lone Star program of machine learning courseware, and Xing Li Feifei wave Speaker)

本程序描述了8阵元，4信号源的阵列信号处理MUSIC算法。(This procedure describes the eight array elements, four source array signal processing MUSIC algorithm.)

灰度共生矩阵和灰度梯度共生矩阵的提取方式，是比较重要的纹理特征提取方法，用matlab实现的(The GLCM and gray gradient co-occurrence matrix extracted, texture feature extraction method, using matlab to achieve)

说明：  利用SVD进行信号降噪，通过fft判断奇异值个数，确定重构矩阵结构(Using SVD to reduce the noise of signal, using FFT to determine the number of singular values, and determining the structure of reconstruction matrix)

VITERBI AND (4,3,2)SOFT-DECODIING