matlab仿真的光伏发电并网模型

PCA based face recognition

说明：  通过matlab计算脉动风，可用于风荷载计算，得到脉动风速(Calculation of fluctuating wind)

说明：  一种基于最小类间距的半监督聚类算法，内含注释和测试数据集(a Semi-supervised clustering algorithm based on Single linkage clustering)

Matlab數位影音處理 影像方面的處理(Matlab image processing digital audio-visual aspect has been dealt with)

数值分析及其MATLAB实现,包括各种典型的算法(Numerical analysis and MATLAB implementation, including a typical algorithm)

This is an implementation of Particle Swarm Optimization algorithm using the same syntax as the Genetic Algorithm Toolbox, with some additional options specific to PSO. Allows code-reusability when trying different population-based optimization algorithms. Certain GA-specific parameters such as cross-over and mutation functions will not be applicable to the PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox.

MATLAB GUI教学视频8：选择参数绘制曲线(MATLAB GUI instruction video 8: Select the parameters to draw the curve)

Routing of packets has been the primary method by which data have been transmitted across packet networks, such as the Internet. When multiple users are interested in the same data the same source, multicast routing is typically used. However, routing alone is not sufficient to achieve the multicast capacity of a network. Ahlswede at [1] showed that using network coding that requires intermediate nodes to encode incoming data a multicast capacity equal to the minimum of the min-cut capacities of all the receivers can be achieved. This multicast capacity cannot be achieved using only routing (with or without replication). There has been a lot work going on to use network coding for multicast in satellite systems.

MATLAB遗传算法目前在优化方面已经得到广泛的应用，特别是在比较复杂的优化方面，此文件提供了一个实例供读者参考。(MATLAB genetic algorithm optimization has been now widely used, especially in the more complex optimization, this document provides an example for readers reference.)

传感器系统的偏差估计方法，包括批处理最小二乘和递推最小二乘的实现代码。(The code realize the deviation estimation methods of the sensor system, including batch least squares and recursive least squares implementation.)