登录
首页 » PDF » paper5

paper5

于 2014-12-13 发布 文件大小:1560KB
0 238
下载积分: 1 下载次数: 1

代码说明:

  TD_LTE无线网络规划及性能分析_赵旭凇.pdf(TD_LTE wireless network planning and performance analysis _ Zhao Xusong.Pdf)

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

  • MOTOR_CC
    CC motor simulink model
    2014-09-24 10:54:05下载
    积分:1
  • 1
    说明:  it is a three-phase PWM inverter
    2013-11-17 05:21:36下载
    积分:1
  • 严重降水指数是干旱分析领域的重要指标SPI_DROUGHT
    严重降水指数是干旱分析领域的重要指标 Severity Precipitation Index is very useful for drought analysis field
    2020-07-07 23:58:57下载
    积分:1
  • Rician_model_fz_1
    有关移动通信中莱斯(Rician)信道衰减的仿真,对信道的理解有一定的帮助(About mobile communications (Rician) Rice fading channel simulation, the channel has some help understanding)
    2014-10-19 22:18:50下载
    积分:1
  • steganografi
    steganografy using Least significant bit
    2014-10-27 20:07:36下载
    积分:1
  • wang_retinex
    对应汪荣贵基于暗原色先验模型的Retinex算法程序,程序是我自己通过学习他的论文根据论文编写的,大家可以看看。(WANG Rong-gui dark colors correspond to a priori model based on Retinex algorithm, the program is my own by studying his thesis based on papers prepared, we can see.)
    2013-09-21 15:23:58下载
    积分:1
  • back-propagation
    simple but incomplete backpropagation
    2011-12-02 07:16:59下载
    积分:1
  • maan
    用平行截面法讨论由曲面z=x^2-y^2构成的马鞍面形状.m(code)
    2009-10-22 10:17:05下载
    积分:1
  • LDH
    Program for Facrotization of a matriz by LDH
    2012-10-18 09:56:17下载
    积分:1
  • Fast-Tracking
    “Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码,效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)
    2014-06-23 15:06:17下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载