资源列表
qiuten
- 多机电力系统仿真及其潮流计算，自己编的5种调制信号，包括单边带、双边带、载波抑制及四倍频。- Multi-machine power system simulation and flow calculation, Own five modulation signal, Including single sideband, double sideband, suppressed carrier and quadruple.
crawler1
- 网络爬虫，抓取链接，提取网页文本，链接队列中不会出现样式和特效链接-crawler that can catch links in web pages
qouhing_v24
- 最大信噪比的独立分量分析算法，使用拉亚普诺夫指数的公式，信号维数的估计。- SNR largest independent component analysis algorithm, Raya Punuo Fu index using the formula, Signal dimension estimates.
GTSP
- 遗传算法解决tsp问题，包括初始种群，交叉，变异，和生存率梯度选择-genetic algorithm that can solve tsp problem
mscpso
- 多尺度协同变异的粒子群优化算法，比较传统的粒子群多了尺度区别速度，并选择最慢速度以防止过拟合-imporved
dfs
- 非递归方式实现深度优先遍历图，可以有效的减少堆栈的使用，提高效率-dfs algorithm non-recurrence version
qoupou_v72
- 包括四元数的各种计算,实现了图像的加水印，去噪，加噪声等功能，IDW距离反比加权方法。- Including quaternion various calculations, Realize image watermarking, de-noising, plus noise and other functions, IDW inverse distance weighting method.
Kalman
- 在线性系统中，Kalman滤波是最优滤波器，其处理高斯的系统也非常有效。目前Kalman滤波理论已广泛应用于国防、军事、跟踪等领域。-In a linear system, Kalman filtering is the optimal filter, and its processing Gaussian system is also very effective. Kalman filtering theory has been widely used in defense, militar
IMM
- 用多个不同的模型对同一目标的轨迹进行卡尔曼滤波，适用于对机动目标的跟踪。-Kalman filtering of the same target trajectory using a number of different models is applied to the tracking of maneuvering targets.
EKF
- 扩展Kalman滤波利用非线性函数的局部线性特性，将非线性模型局部化，再利用Kalman滤波算法完成滤波跟踪。-The extended Kalman filter uses the local linearity of the nonlinear function to localize the nonlinear model, and then uses the Kalman filtering algorithm to complete the filter tracking.
UKF
- 无迹Kalman滤波利用无迹变换在估计点附近确定采样，用这些样本点表示的高斯密度近似状态的概率密度函数。-Unscented Kalman filtering uses the unscented transform to determine the probability density function of the Gaussian density approximation state, which is represented by these sample points.
Particle-Filtering
- 粒子滤波重采样方法实现，残差重采样、多项式重采样、系统重采样、随机重采样。-Particle filter resampling method, residual resampling, polynomial resampling, system resampling, random resampling.