搜索资源列表
MieScattering
- Mie散射，各种粒子散射介质的多次Mie散射，如云、雨滴等-Mie scattering, all particles Mie scattering the multiple scattering medium, clouds, rain, etc.
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- ：本文通过对伽尔顿板实验的过程及结果与混沌运动的特征进行比较分析，说明伽尔顿板实验不仅 是使人们认识多粒子无规则运动中粒子遵循统计规律的典型，还可以作为说明混沌运动特征的很 好示例。-: Based on the Jiaer Dun board process and results of experiments with the chaotic motion of a comparative analysis of the characteristics that Mingjiaerd
IP-Programing
- 《C++图像处理编程》丛书全书例程，包括数学形态学腐蚀算法，拉普拉斯算子检测粒子与线条，还有演示程序-" C++ image processing programming" book series routines, including morphological erosion algorithm, Laplacian detect particles and lines, etc.
demo
- 自己写的dx的一个小demo.包含摄像机,地形,粒子,雾化-Write your own dx a small demo. Contains camera, terrain, the particles and atomization, etc
Particle-algorithm
- 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究。 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练
pso
- 对微粒群算法结构的改进方案有很多种，对其可分类为：采用多个子种群；改进微粒学习对象的选取策略；修改微粒更新迭代公式；修改速度更新策略；修改速度限制方法、位置限制方法和动态确定搜索空间；与其他搜索技术相结合；以及针对多模问题所作的改进。-Structure of the particle swarm algorithm to improve the program there are many, its can be classified as: the use of multiple sub-p
Sand-pile
- 一堆沙子的横截面，可以使用 Margolus 型邻居仿真，但运动规则不同。 规则： 元胞有 2 个状态。状态= 0 是空的，状态= 1 代表沙子。 在任何时间步长，一个粒子，可以在2x2 块中向着底部运动。可能运动如下 所示。墙壁和底部将阻止粒子继续运动。 为了让该运动略有随机性，我亦补充说一项规则，有时处于下落状态的两个元胞还旋转，直到所有的动作都完成。-Cross-section of a pile of sand, you can type using the
multimedia
- 全英文的系统的对多媒体的发展及最重要的图像和声音进行了介绍，并用实际的粒子对其进行了说明。-English system-wide development of multimedia and the most important images and sounds are introduced, and with the actual particles and are described.
LevelSet3D
- 粒子levelset 界面捕捉技术在三维的扩展，计算流体力学CFD-Levelset interface to capture particles in three-dimensional expansion of technology, computational fluid dynamics CFD
256Mb_sdr
- Micron公司SDRAM颗粒的数据手册,使业界事实上的标准.-Micron' s SDRAM data sheet of particles, so that the de facto industry standard.
pso
- In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population
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- 在matlab下可以运行的kalman。对视频图像序列使用卡尔曼滤波器生成背景。卡尔曼滤波是利用其的记忆特性，对一定时间长度的视频图像信息进行加权平均从而获得与实际背景图像近似的初始背景，同时达到滤除颗粒噪声、消除摄像机抖动的目的 -You can run matlab under the kalman. Of video sequences using a Kalman filter to generate the background. Kalman filtering is the use
pf-speak
- 粒子，粒子滤波，并且又在matlab中进行语音识别，-Particles, particle filter, and another for voice recognition in matlab,
DLA
- DLA模型代码，用于研究颗粒的分型长大，得到长大后的形貌-DLA model code for the type of particles grow up, grow up to be the morphology
3dpaticle
- 这是一个flash源文件，效果很好，测试平台为flash 8.0（如果提示问题请选择合适的版本试试），代码的效果是：3d球形粒子跟随-This is a flash source file, with good results, the test platform for the flash 8.0 (if the question, please select the appropriate version to try), the effect of the code is: 3d sphe
Flint_2_1_3_source
- flint particles一个flex的3d粒子系统类库，可以制作很多漂亮的粒子效果-flint particles a flex of 3d particle system library, you can create a lot of nice particle effects
00006858
- 用DEM方法模拟球形颗粒的随机堆积，可应用于岩石物理研究-DEM simulation with the random accumulation of spherical particles can be used in rock physics
Tigerband1
- 通过大规模求解超越方程组给出颗粒体系共振关系中的虎纹斑图形，全部运行时间约40秒-Through large-scale solution of equations gives the particles beyond the resonance relations system tiger spot graphics, run all the time about 40 seconds.
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
Spatial-solitons-in-colloidal-media
- 本文章说明的是光孤子在纳米胶体粒子中的非线性光传输理论，并且通过数值求解得出孤子解！-We study nonlinear light propagation in colloidal nanosuspensions. We introduce a novel model for the nonlinear response of colloids which describes consistently the system in the regimes of low and high lig