DoubleFrequzeOneSource

10－channel polyphase filter的simulink程序(10-channel polyphase filter the simulink program)

说明：  高斯滤波是一种较常见的滤波方法，它能有效滤除高斯白噪声的影响。(Gaussian filter is a common filtering method can effectively filtered Gaussian white noise.)

说明：  一个简单的在图像上做标记的实现算法,通过此算法可以大体了解图像处理标记的基本算法原理(A simple marking in the image on the realization of algorithms, this algorithm can generally understand the basic image processing algorithm tag)

Toolbox-图像去噪及解压算法工具箱Toolbox-图像去噪及解压算法工具箱(Toolbox-image denoising and decompression algorithm toolbox Toolbox-image denoising and decompression algorithm toolbox)

error diffusion2 in matlab

免疫蚂蚁算法优化的RBF网络用于模拟电路故障诊断和基于多小波_包_神经网络及优化的模拟电路故障诊断研究文献(Immune ant colony optimization of RBF network for fault diagnosis of analog circuits and fault diagnosis of neural network based on multi-wavelet packet and optimization of analog circuits literature)

说明：  auv滑模平移运动控制器及其simulink实现(AUV sliding mode translational motion controller and its Simulink implementation)

详细介绍了MATLAB里的命令名及其实现功能，可以为学习者提供一定的帮助(Described in detail in the MATLAB command name and the realization of functions, can provide some help learners)

说明：  多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。(Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard problems, this paper, hybrid particle swarm algorithm to solve multi-objective problem loading cargo. Hybrid Particle Swarm Algorithm in elementary particle swarm optimization based on genetic algorithm through the introduction of crossover and mutation of the strategy to avoid a fall into local optimum, global optimum to achieve accelerated convergence. In addition, this paper, the weight factor used to balance the various objectives so that the objectives can be achieved relatively better results.)

说明：  最全的通信类Matlab仿真例子集合。。。。。。。。。。。。。。(The most comprehensive set of communication class Matlab simulation example. . . . . . . . . . . . . .)