germ

Characteristic polynomial, eigenvalues, eigenvectors

DSP course lectures lab

粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。 (Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)

image watermarking method

蚁群算法ACO的应用，包括图像匹配，边缘检测，点检测，以及遗传算法GA(ACO ACO algorithm applications, including image matching, edge detection, detection, and genetic algorithm GA)

這一篇論文的標題為「基於MIMO-OFDM的差分空頻群組碼」是2007發表的(This is a paper entitled )

初步学习采样和重建信号。包括源程序和报告书。(Preliminary study of sampling and reconstruction of the signal. Including the source and report.)

一篇非常优秀的论文：合成孔径雷达成像matlab仿真，附PDF和源码。 (Synthetic Aperture Radar Imaging Simulated in MATLAB（PDF and Matlab code）)

BreedPSO：用基于交叉遗传的粒子群优化算法求解无约束优化问 (BreedPSO: Cross with genetic-based particle swarm optimization algorithm for solving unconstrained optimization problem)

说明：  智能控制仿真GUI界面，对离散化的受控对象进行不同方式的控制（包括传统PID控制、模糊PID控制、神经PID控制和专家及仿人智能控制），然后通过分析不同条件下的单位阶跃响应指标，比较各控制方式之间的差异及控制特点。(intelligent control GUI)