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Chapter_2
chapter 2 matlab codes from ebook "AEMM"
- 2010-12-09 11:34:02下载
- 积分：1
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Full_Search_AVI[1]
说明： 该程序用全搜索法实现图像间的匹配，同时有视频foreman作为处理的考虑视频(The program uses the full search method to achieve matching between images, while there is a deal considering Video foreman video)
- 2010-04-11 10:58:19下载
- 积分：1
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pingmianbo
采用平面波展开法求解二维光子晶体能带，有正方形和六边形(Plane wave expansion method for solving two-dimensional photonic crystal band)
- 2014-09-04 09:47:09下载
- 积分：1
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Ext_Kalman_Tracking
Extended kalman filter for tracking
- 2013-03-31 20:48:16下载
- 积分：1
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SVM_image_block_segment
SVM 用于基于块划分特征提取的图像分类，主要针对一幅图片的类型进行判断，比如说是古建筑、水体、植被等。(SVM classfication for image class type, based on image block segmention.)
- 2014-12-27 22:48:50下载
- 积分：1
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多径信道下可有效提高频偏估计性能
文章对几种常用的基于循环前缀(CP)的最大似然同步算法进行了分析，并对其频偏估计方差进行了比较；同
时针对基于CP 的同步算法在多径衰落信道下性能较差的情况，提出了一种改进的CP 同步算法并进行了仿真，结果表明相比
于原ML 算法，文中算法在多径信道下可有效提高频偏估计性能。(】This paper does some research on multiple maximum-likelihood (ML) algorithms based on cyclic prefix
(CP) and compares variances of frequency-offset estimation After the analysis of the bad performance of CP based
algorithms in multi-path fading channels, an improved CP algorithm is proposed and the simulation shows that this
algorithm can improve its performance effectively in multi-path fading channels.)
- 2010-05-18 18:29:39下载
- 积分：1
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toolbox-spams_v2.5
字典学习及稀疏编码 非常好的工具箱!!!!!!!!(dictionary learning and sparse coding perfect toolbox!!!!!!!!!!!!)
- 2014-10-22 14:45:27下载
- 积分：1
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untitled
采用matlab的simulink模块实现了基于矢量控制的永磁同步电动机控制系统，电机模型为matlab自带模型，SVPWM的实现则采用了模块搭建，仿真模型运行时间快，效率高，便于学习研究(Using the matlab simulink module implements the permanent magnet synchronous motor control system based on vector control, motor model for matlab own model, SVPWM implementation of the module is used to build simulation models running time, high efficiency, easy to learn study)
- 2014-11-02 09:37:09下载
- 积分：1
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hsmm
隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分：1
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FDTD-2d-without-pml
fdtd_2d basic algorithum version 1
isotopic linear non-dispersive material
an soft gaussian source
Dirichlet boundary conditions
grid size and time size is designated directly
Ez mode
electic field nomalized
- 2014-10-01 18:23:02下载
- 积分：1
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