搜索资源列表
Wavelet_OMP_WD
- 压缩感知,通过开发信号的稀疏特性,在远小于Nyquist 采样率的条件下,用随机采样获取信号的离散样本,然后通过非线性重建算法完美的重建信号-Compressed sensing, through the development of signal sparse characteristics, in the condition of far less than the Nyquist sampling rate, the use of random sampling to obtain the
lhs
- 这个程序组是拉丁超立方模拟程序,是高级的monte carlo模拟随机抽样。-This program group is Latin hypercube simulation program, it is the senior monte carlo simulation of random sampling.
Analog-to-information-conversion-via-random-demod
- A paper on random demodulation of Analog-to-information conversion in signal sampling.
Monte-Carlo-method
- 蒙特卡罗方法(Monte Carlo method),也称统计模拟方法,是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明,而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数(或更常见的伪随机数)来解决很多计算问题的方法。-Monte Carlo methods (or Monte Carlo experiments) are a broad class of computational algorithms that rely on repeated ran
CSDOA
- 压缩采样下的DOA估计 空域随机采样 matlab文件-DOA Estimation airspace under compressive sampling random sampling
algorithm-of-two-dimensional-random
- 基于1范数优化和二维随机映射的一种新的算法,实现图像识别,内容涉及到最先进的压缩感知采样-Based on 1 norm optimization and a new algorithm of two-dimensional random maps, image recognition, the content involves the most advanced compression perception sampling based on 1 norm optimization and a
MTKLjcxhyanz
- NTKL法可以同时检测光谱异常点、参考数据异常点及其他们共同的异常点,该方法的基本思路是基于蒙特卡洛采样,随机将样本集划分为校正集与预测集,用校正集建模,并对没参与建模的样本进行预测误差计算,进行几千次这样随机采样,每个样本点都可得到其预测误差分布。如果奇异样本在校正集中,整个模型的质量将受到影响;相反,如果奇异样本在预测集中,仅此样本的预测结果受到影响。-NTKL method can simultaneously detect abnormal spectrum and abnormal r
popiunthm-pickan
- popular denoising scheme. Conceptually simple, the algorithm is computationally intensive for large images. We propose to speed up NLM by using random sampling. Our algorithm picks, uniformly at random, a small number of columns of the weight
ranlib
- 随机数据的C++生成,随机取样,希望对大家有帮助-C++ generate random data, random sampling, we want to help
NLDA
- 利用matlab实现基于NLDA的人脸识别算法,如有需求做RLDA和bagging NLDA并利用sum rule或者majority rule请参照http://shop.zbj.com/14563255/sid-1213623.html-Matlab codes for NLDA, bagging NLDA, random sampling LDA, Integrating Random Subspace and Bagging for LDA Based Face Recognition
bagging-NLDA-and-RLDA
- 利用matlab实现NLDA人脸识别算法,更详细的random sampling LDA, bagging NLDA和整合LDA算子利用majority vote 和sum rule的matlab 代码,人脸库使用ORL库或者XM2VTS库,地址:http://shop.zbj.com/14563255/sid-1213623.html- matlab codes for NLDA face detection, the face s are ORL. More details about r
RANSAC
- 本代码为随机采样一致性点云处理算法,可以从点云数据中很好的对模型进行拟合(This code is a random sampling consistency point cloud processing algorithm, can very good from point cloud data for fitting model)
phpems_zxmnks_v4.1
- 1、强化训练测验,对知识点进行单独联系 2、随机组卷练习,系统自动抽取题目进行练习 3、手工组卷联系,通过教师平台手工组卷形成考卷进行模拟练习 4、支持主客观题型并存,主观题评分可以设置为学生自评和教师后台评分 5、支持题冒题(如英语阅读理解,一个题干下属多道小题的类型)随机抽取 6、支持考场功能,可以对单个用户开通单独考场 7、支持题目收藏、错题重做、考试记录等功能(1, strengthen training and test, and contact the knowledge
particle
- 文件有关重采样程序。有两个子程序,其一实现随机采样,第二个多项式采样。(The file is about resampling program.There are two subprograms.One is Random sampling .The other is polynomial sampling.)
CureDemo
- 实现的cure聚类的demo。算法在开始时,每个点都是一个簇,然后将距离最近的簇结合,一直到簇的个数为要求的K。它是一种分裂的层次聚类。算法分为以下6步: 1)从源数据对象中抽取一个随机样本S。 2)将样本S分割为一组划分。 3)对划分局部的聚类。 4)通过随机取样提出孤立点。如果一个簇增长得太慢,就去掉它。 5)对局部的簇进行聚类。 6)用相应的簇标签标记数据。(The implementation of the cure clustering of the
Ransac
- 随机抽样一致性算法, 实现圆的拟合, C Sharp 程序(Random sampling consensus algorithm to achieve circle fitting, C Sharp program)
compare_pcl_gpucpu-master
- 对比CPU和GPU加速,pcl::cuda的使用教程,利用随机采样一致(RANSAC)去除地平面等例子。(Compare CPU and GPU acceleration, pcl::cuda tutorial, using random sampling consistency (RANSAC) to remove ground plane and other examples.)
RANSAC平面提取
- 根据点云的分布特征,采用随机采样一致性算法提取平面(According to the distribution characteristics of point clouds, a random sampling consistency algorithm is used to extract the plane.)
LHS(拉丁抽样)
- 进行拉丁随机抽样;可以自行修改参数;可以画图(Latin random sampling)
用MATLAB实现的随机抽样方法
- 用MATLAB实现的随机抽样方法,自动划分为训练集和测试集(The random sampling method realized by Matlab can be divided into training set and testing set automatically)