music

实现音频中添加数字水印的matlab程序(Add audio digital watermarking matlab program)

该算法功能是运动视频帧目标检测，实验效果较好，值得一看(The algorithm feature is motion video frame target detection experiment better, worth a visit)

文宇工作室MATLAB教程 文宇工作室MATLAB教程 (The Wen Yu studio MATLAB teach Cheng Wenyu studio MATLAB tutorial)

WCDMA系统中随机接入过程的仿真，包含整个随机接入信道的仿真，完全根据WCDMA协议产生，包含信源产生、编码、交织、数据发送接收、解码解调、误码率统计等过程。(Simulation of a random access procedure in a WCDMA system, including the simulation of the random access channel, according to the WCDMA protocol generated entirely, including the source, and the coding, interleaving, data transmission and receiving, decoding, demodulation, error rate statistics and other processes.)

ECG source code for engineer

Nonparametric Genetic Clustering

蝙蝠算法进行编程 采用标准测试函数对其性能进行测试(The bat algorithm is programmed and the performance of the algorithm is tested with standard test function.)

自己编写的改进ELMAN网络辨识程序.非常实用(I have written procedures to improve the ELMAN network identification. Very useful)

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.)

关于线性分类器的分类问题 如何将不同种类的对象分离(Linear classifier)