efficientLBP

说明：  这个源码提供了如何利用高斯混合模型去做影像辨识的模型分类(the source how to use a Gaussian mixture model to do imaging Identification Classification Model)

对三种不同数值的RCS，SNR相对检测距离的仿真以及对三种不同数值的雷达峰值功率，SNR相对检测距离的仿真(radar SNR RCS)

matlab codes for orthogonal frequency division multiplexing

matalab similink 单相锁相环 仿真建模(matalab similink singal PLL simulation)

说明：  该算法采用如下共聚类结构进行多重聚类： 1.优化地将数据集划分为多个视图。在每个视图中，对象和特征都是群集的。 2.同时分析了三类特征：高斯特征、泊松特征和范畴特征。 3.自动推断视图和簇的数量。(This algorithm carries out multiple-clustering with co-clustering structures as follows: 1.Optimally divides datasets into several views. In each view, both objects and features are clustered. 2.Simultaneously analyzes three types of features: Gaussian, Poisson and categorical features. 3.Automatically infers the number of views and clusters.)

IAE方法检测过程的振荡。绝对积分误差方法。(IAE approach for oscillation detection)

matlab编写的一个关于船舶MMG数学模型的代码.(the code is writed by mmg math model...)

matlab建立了某流域1月份降水量的二次多项式和三次多项式趋势面(matlab created a watershed in January precipitation quadratic polynomial and cubic polynomial trend surface)

comparison between three types of equalizers: zfl and mmse and viterbi

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)