yun

Amba 2.0 specification

c语言和matlab实现sift算法，很实用的啊！(c and matlab program complete sift arithmetic)

比较了三种学习方法 1 gradient descent 2 steepest descent with line search 3 conjugate gradient method. 三种方法都在一个.m文件中被实现。(compare three learning methods: 1 gradient descent 2 steepest descent with line search 3 conjugate gradient method.)

這一篇論文的標題為「基於MIMO-OFDM的差分空頻群組碼」是2007發表的(This is a paper entitled )

Lucas – Kanade Motion Estimation using Pyramids (视频,运动估计)(Lucas-Kanade Motion Estimation using harvested amids (video, motion estimation))

BP神经网络预测公路运量 1.问题的描述 公路运量主要包括公路的客运量和公路货运量两个方面。据研究，某地区的公路运量主要与该地区的人数、机动车数量和公路面积有关，表1给出了20年得公路运量相关数据，表中人数和公路客运量的单位为万人，机动车数量单位为万两，公路面积的单位为万平方千米，公路货运量单位为万吨。 根据有关部门数据，该地区2010年和2011年的人数分别为73.39和75.55万人，机动车数量分别为3.9635和4.0975万辆，公路面积将分别为0.9880和1.0268万平方米。请利用BP神经网络预测该地区2010年2011年得公路客运量和公路货运量。 (BP neural network to predict the road traffic (1) description of the problem of road traffic including road passenger and road freight volume two. According to research, an area of ​ ​ road traffic and the number of the region, the number of motor vehicles and road area, Table 1 shows the 20 years have to road traffic-related data, the table number and road passenger traffic units for people , million two units of the number of motor vehicles, road area in square kilometers, the highway freight volume was 10 000 tons. According to relevant data, the number of people of the region in 2010 and 2011 were 73.39 and 75.55 million, the number of motor vehicles were 3.9635 and 4.0975 million units, the road area were 0.9880 and 1.0268 million square meters. Please use the BP neural network in the region in 2011, 2010 have highway passenger volume and road cargo.)

：首先介绍了系统辨识的基本原理，简要介绍了Matlab中系统辨识 的实现方法。并结合具体的例子，显示Matlab系统辨识工具箱在系统辨 识中的强大功能和辨识快速准确等优点。(This paper introduces the basic theory of System Identification，the realization method in Matlab and presents the strong function of System Identification toolbox with the merit of fast，precision and SO 011 by an example．)

通过matlab实现最大类间方差,根据迭代选择阈值法原理编写.(Through matlab maximum between-class variance, according to the iterative threshold selection method works written.)

adm.alhomsi from homs city

Matlab code various programs. Matlab code various programs. Matlab code various programs.