基于VV算法的载波相位估计 PhaseEstimation

MATLAB中文帮助文档,内容很详细，软件上的英文版的，所以这款中文版会帮助你更好的学习MATLAB(The MATLAB Chinese help documentation)

遗传算法解决背包问题。内含genetic工具包。(Genetic algorithm to solve knapsack problem. Contains genetic toolkit.)

对HARQ系统的吞吐量分析，实现典型相关分析，基于chebyshev的水声信号分析。( HARQ throughput analysis of the system, Achieve canonical correlation analysis, Based chebyshev underwater acoustic signal analysis.)

说明：  带注释的一维粒子滤波MATLAB程序，适合初学者学习。(Notes with one-dimensional particle filter MATLAB program, suitable for beginners to learn.)

image processing and matlab application

虚拟同步发电机的simulik仿真模型，研究其功率随负荷改变而波动的过程。(a modal for VSG in MATLAB)

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)

dftuv。计算矩阵各个点到中心点的距离。对陷波滤波和带通带阻滤波有很大作用。(dftuv.Calculate the matrix of each point to the distance between the center.Notch filter and band-pass band-stop filter. )

A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into arousal, expectation, intensity, power and valence level of the observed subject as there has been virtually no research bearing on this topic. Preliminary experiments show that it is possible to automatically predict emotions in terms of these five dimensions (arousal, expectation, intensity, power and valence) from conversational head gestures. Dimensional and continuous emotion prediction from spontaneous head gestures has been integrated in the SEMAINE project [

pCA的ppt报告，PCA理论，该理论可用于降维处理，将高维数据变化 为低维数据。(ppt Report of the PCA, PCA theory, the theory can be used to deal with dimensionality reduction, high dimensional data will change for the low-dimensional data.)