搜索资源列表
123
- 针对MIMO-OFDM系统中期望最大化(EM)信道估计算法在高信噪比(SNR)下带来的误差地板(EF)现象,且OFDM符号的数据传输效率随发射天线数的增加而明显降低,提出一种改进的高效EM信道估计算法。该算法首先引入一种准确的等效信号模型并推导出一种修正的EM算法,改善了EM算法在高SNR下的性能 在多个OFDM间利用相位正交导频序列来提高数据传输效率,同时进行联合信道估计以提高估计性能。仿真实验验证了所提算法具有更高的信道估计性能和更高的数据传输效率。-For multiple-input m
EM
- 求解参数估计的常用算法——EM，即期望最大化算法，用于代替样本量不完全时的极大似然估计算法。-Common algorithm for solving parameter estimation- EM, expectation maximization algorithm is used to replace the sample size is not completely at the maximum likelihood estimation algorithm.
flowercloud
- 基于云模型的花片特征提取算法，该算法通过云模型的逆向正态云发生器，由样本点信息，求解出三类花四个特征参数各自的数字特征：期望、熵、超熵。-Based on Cloud Model Motif feature extraction algorithm, which cloud model of reverse normal cloud generator, the sample point information, solving the three spent four the number o
Manisha
- It is a java implementation of Expectation Maximization algorithm that can be used for clustering objects in data mining
A-Bayesian-Approach
- In this paper, we propose a Bayesian methodology for receiver function analysis, a key tool in determining the deep structure of the Earth’s crust.We exploit the assumption of sparsity for receiver functions to develop a Bayesian deconvolution
EM-algorithem
- 自己小结的期望最大化算法（EM算法），很详细。-Own summary of the expectation-maximization algorithm (EM algorithm), in great detail.
Pattern_Recognition_and_Machine_Learning__Informa
- Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the
performance-computer-research-
- 高性能计算机研究的现状与展望，可以了解到现今高性能计算领域的成果和发展趋势-The high performance computer research situation and expectation
EM
- 基于OpenCV的例程，修改实现了基于MFC对话框构架的期望最大化算法，将部份注释和运行提示译成了中文，有助于更好地理解原程序。-It s an MFC Dialog based Expectation Maximize algorithm modified from OpenCV source. Chinese comments are added to it to enchance better understand of the program.
eScholarship-UC-item-1rb70972
- Expectation maximization and mixture model tutorial
quick_sort
- 算法课程的快速排序的实现,快速排序的精华在于partition函数的实现，本实现中分别采用了原始的partition和随机化的partition，以便于达所期望的速度。-the implementation for quick sort in the course of alogrithm.The essence of quick sort lies in the implementation of the function partition.The code contains two iml
Fergus-Perona
- We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constellations of parts. A probabilistic representation is used for al
Statistical-Signal-Processing
- 随机信号处理实验，VC编程实现。（1）、产生（0，1）均匀分布随机数，期望，方差，概率密度统计 （2）、产生（0，1）高斯分布随机数，期望，方差，概率密度统计 （3）、2组独立的（0，1）均匀分布随机数做和后的概率密度统计 （4）6组独立的（0，1）均匀分布随机数做和后的概率密度统计。（5）、产生（0，1）高斯序列的自相关序列；（6）计算（5）的序列的功率谱密度。 -(1), resulting in (0,1) uniformly distributed random numbers, t
CT_Recowith_EMPTV
- Using Expectation Maximization & Total Variation(EM+TV) BY USING phantom Data to reconstruction of the ct images
EMcanshuguji
- 利用EM算法来实现参数估计，两个等概率事件-expectation max
osem1
- 图像重建_有序子集最大期望值法，理论研究-Image reconstruction _ ordered subset expectation maximization, theoretical research
Degree-Thesis-system
- 本文介绍了一套功能完善的研究生学位申请及学位授予管理信息系统的设计过程，包括应用背景分析、系统构成、主要功能、技术处理和本系统的特点。首先简述了开发研究生学位申请及学位授予管理信息系统的必要性和紧迫性。给出研究生学位申请及学位授予流程。利用SQL server数据库，.NET 2008 和ADO.NET EntityFramework技术开发了研究生学位申请及学位授予管理信息系统, 旨在优化工作流程, 实行科学管理, 提高办公效率。将该系统应用于高校学位管理, 最后对该系统作了总结与展望。-Th
Randon-Variables
- Randon Variables,expectation value, Gaussian distributions, white Nosie, probability density
expectaionMaximation_CPP
- 通过gaussian mixture Model 产生一组点， 通过 Expectation Maximation方法对这些等进行划分。 结果表明，此算法能够很好的确认gaussian mixture model。-Gaussian mixture Model is used to produce a set of points. And through Expecation Maximation Method the points will be classified. The results
BP-shenjinhMATLAB
- 输入学习样本，使用反向传播算法对网络的权值和偏差进行反复的调整训练，使输出的向量与期望向量尽可能地接近，当网络输出层的误差平方和小于指定的误差时训练完成，保存网络的权值和偏差。-Enter the study sample, using the back-propagation algorithm repeatedly adjust training of the network weights and deviation as close as possible, so that the ou