登录
首页 » PDF » fpv112

fpv112

于 2015-03-05 发布 文件大小:4284KB
0 148
下载积分: 1 下载次数: 2

代码说明:

  FPV相册傻瓜式教程,对于想使用FPV的新手来说值得一看。(FPV album fool tutorial, you want to use for novice FPV worth a visit.)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • burst
    finding the burst image for skew angle detection
    2010-06-07 18:47:35下载
    积分:1
  • rrb-bankers
    Banker Algorithms Implemented in C/C++
    2013-12-30 20:56:52下载
    积分:1
  • DCT
    读入一幅256*256图像,将它分成8*8pixel的若干块,对每块做DCT变换,保留Z型顺序的若干变换系数,进行IDCT重构图像,计算重构图像的信噪比(Reading a 256* 256 image, it will be divided into several blocks of 8*8 pixel, keep each optimal Z transformation of sequence number, IDCT transform coefficient calculation reconstruction image reconstruction images,and the signal-to-noise ratio)
    2010-07-02 22:08:40下载
    积分:1
  • dt
    说明:  选择性读入并筛选数据,然后已ASCII码输出。Matlab程序。(Matlab program on loading and export database.)
    2009-03-08 14:14:29下载
    积分:1
  • fade
    包括DS-CDMA 的衰落信道函数,多径衰落信道以及快衰落信道函数。(Including DS-CDMA in fading channel function, multi-path fading channel and fast fading channel function.)
    2008-04-06 00:02:08下载
    积分:1
  • test
    matlab program for beginner
    2011-01-01 16:34:25下载
    积分:1
  • LoadflowOfGauss
    It is an Gauss_saidel method programed in Matlab. The effectiveness is tested by one benchmark function.
    2011-01-02 14:17:57下载
    积分:1
  • SparseArray
    SparseArrays map integers to Objects. Unlike a normal array of Objects, there can be gaps in the indices. It is intended to be more efficient than using a HashMap to map Integers to Objects.
    2014-01-01 11:30:11下载
    积分:1
  • NB_breast_cancer_wisconsin_original
    基于朴素贝叶斯的分类练习,在UCI数据库中的breast数据集上进行的测试(Bayesian classification based on practice, in the UCI database data set on breast test)
    2010-06-18 01:29:02下载
    积分:1
  • iris-classification-matlab-master
    In this report, we devise a methodology for identifying the species of an iris amongst 3 based on 4 distinctive features. We first cover the constitution of the data set and input patterns. We then determine the layout and structure of the neural network we will use for the classification. We continue by testing the network in real life conditions. We conclude with a review of the methods used, and how they could be improved.
    2014-09-21 00:53:28下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载