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Kernel_particle_filter_for_visual_tracking
- the Kernel Particle Filter (KPF)—is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated
papersofparticla
- 关于粒子系统的相关文章，粒子系统对于模拟现实中的雨雪，爆炸场景等是及其逼真的。这里面关于这些粒子系统的基本概念及相关知识有教深入的研究。-Related articles on particle systems, particle system for the simulation of reality in the rain and snow, explosion scene is realistic. There is the basic concept and knowledge of t
A-complete-system-for-contour
- A complete system for head tracking using Motion-Based particle filter and randomly perturbed active contour
mppt
- This paper proposes an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modifi ed particle swarm optimization (PSO) algorithm.
wsn-for-DSP-system
- 一种改进的粒子滤波算法的研究 粒子滤波基本原理，通过改进权重计算、重采样算法， 计算速度得到提高。改进的算法在DSP系统中进行目标跟踪仿真，证明其具有速度快、 精度高的特点-An improved study the basic principles of particle filter particle filter algorithm, recalculation by improving the rights, resampling algorithm to calculate the s
estimation-extended-Kalman-filter
- 针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。- Extended K
A-combination-of-genetic-algorithm-and-particle-s
- A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental dema