A-Guide-to-MATLAB-for-Beginners-and-Experienced-U

使用Matlab去LOCATE语音信号，尤其是UNVOICED的语音信号(how to locate the beginning and end of the speech, especially when the signal start from the unvoiced character)

matlab gui开发的实用教材 还有一位网友写的初步认识 对想迅速掌握matlab GUI开发的朋友的确有很大的帮助(matlab gui development of practical materials Another netizen wrote an initial understanding of the development to quickly grasp the matlab GUI friend indeed a big help)

通过MATLAB对常出现的数学模型进行建模，并对相关数值计算方法进行讲解(Often appear through the MATLAB mathematical model for modeling and related numerical methods to explain)

说明：  尽管瑞利和莱斯分布确实能够在很多情况下对信号通过衰落信道后的包络进行很好的建模，然而，在实际的无线环境测试中，发现Nakagami分布提供了更好的与实际测试的匹配度。(Although Rayleigh and rice distribution can model the envelope of the signal after passing through the fading channel in many cases, in the actual wireless environment test, Nakagami distribution is found to provide a better match with the actual test.)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

Fuzzy c means + hmf implenentation

ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING PERFORMANCE CALCULATION OF BER MEASUREMENT..

Matlab中如何检验数据是否符合某种分布，例如:正态分布、γ分布、泊松分布、指数分布、rayleigh分布。(Matlab how to verify the data meets certain distribution, for example: the normal distribution, the γ distribution Poisson distribution, exponential distribution, rayleigh distribution.)

小波变换程序，包括水平细节系数、垂直细节系数、近似细节系数、对角细节系数的显示(Wavelet transform procedures, including display horizontal detail coefficient, vertical detail coefficients and detail coefficients, the approximate diagonal detail coefficients)

Drop Down Searching implementation on Powerbuilder.