UCAV控制仿真

模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 (Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)

matlab 图像处理函数,所有相关函数应用示例。可作为工具查阅。(matlab image processing function, the function of all relevant application examples. Can be used as tools for access.)

Fit calculates coefficients c of the least-squares approximating polynomial

本资源是matlab的进行间接平差运算的源代码(This resource is the indirect adjustment calculation matlab source code)

对原始信号的2FSk的，调制，采用相干解调(2 FSk signal to the original, modulation, the coherent demodulation)

粒子群算法优化广义回归神经网络的代码，具有很好的借鉴意义。(Particle swarm optimization (PSO) algorithm optimizes the code of generalized regression neural network, which has a good reference value.)

一种基于复杂网络的适应性模型，包含不同能量分布对度分布、不同删除概率影响、鲁棒性与脆弱性、平均路径 聚类系数、容错性(An adaptive model based on complex network is proposed, which includes the effects of different energy distribution on degree distribution, different deletion probability, robustness and vulnerability, average path clustering coefficient, and fault tolerance.)

用matlab所写的复杂网络所用的经典算法，如BA无标度网络，ER随机网络，WS小世界网络和NS小世界网络，以及最近邻耦合网络等matlab算法，可以修改参数，可以绘制复杂网络图形。在matlab中直接可运行。(Classical algorithm matlab written with complex network used, such as BA scale-free networks, ER random network, WS small-world networks and NS small world networks, and nearest neighbor coupling network matlab algorithm, you can modify the parameters, you can draw complex networks graphics. Can be run directly in matlab.)

应用KL变换的人脸识别MATLAB实现,人脸识别可以借鉴(K_L decompsition for face recognition)

以一个复合信号为例，做基本的维格纳分布（winger-ville distribution），有结果输出。(A composite signal, for example, to do basic Wigner distribution (winger-ville distribution), the outcome of the output.)