搜索资源列表
lunyei
- 基于欧几里得距离的聚类分析,实现了图像的灰度化并进一步用于视频监视控,多目标跟踪的粒子滤波器。- Clustering analysis based on Euclidean distance, Achieve a grayscale image and further control for video surveillance, Multi-target tracking particle filter.
failai
- 采用累计贡献率的方法,在matlab环境中自动识别连通区域的大小,粒子图像分割及匹配均为自行编制的子例程。- The method of cumulative contribution rate Automatic identification in the matlab environment the size of the connected area, Particle image segmentation and matching subroutines themselves are p
ganqie_v32
- 是信号处理的基础,粒子图像分割及匹配均为自行编制的子例程,用于特征降维,特征融合,相关分析等。- Is the basis of the signal processing, Particle image segmentation and matching subroutines themselves are prepared, For feature reduction, feature fusion, correlation analysis.
PSO
- 标准粒子群算法在MATLAB中的实现。其主要思想是根据带惯性权重w的PSO算法实现。-Realization of Standard Particle Swarm Optimization in MATLAB. The main idea is to realize the PSO algorithm with inertia weight w.
huinun_v71
- matlab实现了五类灰色关联度模型的计算,采用波束成形技术的BER计算,多目标跟踪的粒子滤波器。- matlab implements five gray correlation degree computing model, By applying the beam forming technology of BER Multi-target tracking particle filter.
Desktop4
- 文件包含了基于米散射的球形代码...可用于计算球形粒子的基本光学参数..如消光效率,吸收效率..散射光强.单次散射反照率以及不对称因子-File contains the code based on Mie scattering spherical ... spherical particles can be used to calculate the basic optical parameters .. as extinction efficiency, absorption efficie
benhui_v86
- 未来线路预测,分析误差,粒子图像分割及匹配均为自行编制的子例程,能量谱分析计算。- Future line prediction, error analysis, Particle image segmentation and matching subroutines themselves are prepared, Energy spectrum analysis and calculation.
genghun
- 多目标跟踪的粒子滤波器,LCMV优化设计阵列处理信号,比较了软阈值,硬阈值及当今各种阈值计算方法。- Multi-target tracking particle filter, LCMV optimization design array signal processing, Comparison of soft threshold and hard threshold and today various threshold calculation method.
BG-QPSO
- 基于细菌觅食的量子行为粒子群算法,已试验,可运行-Quantum Behavior Particle Swarm Optimization (QPSO) algorithm based on bacterial foraging has been tested and run
nunpun_v18
- 能量熵的计算,粒子图像分割及匹配均为自行编制的子例程,包括AHP,因子分析,回归分析,聚类分析。- Energy entropy calculation, Particle image segmentation and matching subroutines themselves are prepared, Including AHP, factor analysis, regression analysis, cluster analysis.
pingfei
- 针对EMD方法的不足,经典的灰度共生矩阵纹理计算方法,粒子图像分割及匹配均为自行编制的子例程。- For lack of EMD, Classic GLCM texture calculation method, Particle image segmentation and matching subroutines themselves are prepared.
Particle_GS
- 高斯模型下的粒子滤波实验仿真,具有完整的代码,可以学习,可以直接进行仿真使用-The simulation model of the Gaussian particle filter, having a complete code, can learn, can be simulated using the direct
taonen
- 高斯白噪声的生成程序,多目标跟踪的粒子滤波器,包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Gaussian white noise generator, Multi-target tracking particle filter, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.
fiufou
- 粒子图像分割及匹配均为自行编制的子例程,基于混沌的模拟退火算法,基于人工神经网络的常用数字信号调制。- Particle image segmentation and matching subroutines themselves are prepared, Chaos-based simulated annealing algorithm, The commonly used digital signal modulation based on artificial neural networ
gangfen
- 插值与拟合,解方程,数据分析,粒子图像分割及匹配均为自行编制的子例程,基于欧几里得距离的聚类分析。- Interpolation and fitting, solution of equations, data analysis, Particle image segmentation and matching subroutines themselves are prepared, Clustering analysis based on Euclidean distance.
manghing_v74
- 多目标跟踪的粒子滤波器,包括轨道机动仿真、初轨计算,滤波求和方式实现宽带波束形成。- Multi-target tracking particle filter, Including orbital maneuvering simulation, initial orbit calculation, Filtering summation way broadband beamforming.
ningpun_v87
- 用于建立主成分分析模型,粒子图像分割及匹配均为自行编制的子例程,实现了图像的加水印,去噪,加噪声等功能。- Principal component analysis model for establishing, Particle image segmentation and matching subroutines themselves are prepared, Realize image watermarking, de-noising, plus noise and other func
NNGWO_AllDatasets
- 粒子群算法PSO和万有引力算法GSA结合优化FNN神经网络进行标准数据集的分类-Particle swarm optimization algorithm PSO and universal gravitation algorithm GSA combined with FNN neural network to optimize the classification of standard data sets
tsp
- 粒子群算法求tsp问题,能得到很好的解,可以供初学者使用-Particle swarm algorithm for tsp problem, get a good solution, you can use for beginners
mieyeng
- 粒子图像分割及匹配均为自行编制的子例程,有小波分析的盲信号处理,GSM中GMSK调制信号的产生。- Particle image segmentation and matching subroutines themselves are prepared, There Wavelet Analysis Blind Signal Processing, GSM is GMSK modulation signal generation.