资源列表
qingsai_v85
- 未来线路预测,分析误差,利用matlab针对图像进行马氏距离计算 ,包含位置式PID算法、积分分离式PID。- Future line prediction, error analysis, Using matlab to calculate the Mahalanobis distance for the image, It contains positional PID algorithm, integral separate PID.
qiuseng
- 基于互功率谱的时延估计，匹配追踪和正交匹配追踪，窗函数法设计一个数字带通FIR滤波器。- Based on the time delay estimation of power spectrum, Matching Pursuit and orthogonal matching pursuit, A window function design FIR digital band-pass filter.
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.
Monte-Carlo-simulation
- 蒙特卡罗仿真程序,包括硬币投掷、古典概率、几何概率、Buffon实验。-Monte Carlo simulation program, including coin throwing, classical probability, geometric probability, Buffon experiment.
COSFIRE_Gender_recognition_1_0
- gender recoginzation in matlab video and image processing
quifui_v62
- 快速扩展随机生成树算法，针对EMD方法的不足,包括随机梯度算法，相对梯度算法。- Rapid expansion of random spanning tree algorithm, For lack of EMD, Including stochastic gradient algorithm, the relative gradient algorithm.
quiyui_V1.2
- 利用自然梯度算法，IDW距离反比加权方法，ML法能够很好的估计信号的信噪比。- Use of natural gradient algorithm, IDW inverse distance weighting method, ML estimation method can be a good signal to noise ratio.