-
Erlang-B
Implement an Erlang-B program, and calculate the offered traffic load for
Channel number: 1~20, 200~220
Blocking rate: 1 , 3 , 5 , 10
- 2010-06-23 18:36:03下载
- 积分：1
-
fft
fft exemple. sistem speech recognition
- 2009-12-15 09:25:21下载
- 积分：1
-
ompbox8
compressive sensing theory
- 2013-08-16 21:22:28下载
- 积分：1
-
sanxiangqiaoACDC
三相桥AC_DC电路的MATLAB仿真。适合学习。。。。
(the circuit of three phase inverter)
- 2015-04-03 09:49:10下载
- 积分：1
-
mynlms-and-myrls
此文件包括mynlms和myrls，编程简单有效，是很好的程序(This file to include mynlms and myrls programming is simple and effective is a good program)
- 2012-06-18 19:02:39下载
- 积分：1
-
QuadTank
mpc Model predictive control for quad tank(mpc MIMO
model predictive control for quad tank)
- 2019-03-23 23:40:59下载
- 积分：1
-
filters
Matlab program for some filters like wiener, median and wavelet.
- 2010-06-20 18:53:58下载
- 积分：1
-
线性调频信号的速度多普勒模糊函数chirp-ambiguity
线性调频信号的速度多普勒模糊函数，有三维以及二维截面图(The speed of linear frequency modulation signal doppler fuzzy function, there are three dimensional and two dimensional section graph)
- 2020-07-08 08:48:57下载
- 积分：1
-
tm_point
说明： fdtd模拟点源在自由空间的传播，PML边界吸收(FDTD simulation of point sources of transmission in free space, PML absorbing boundary)
- 2020-09-27 20:37:45下载
- 积分：1
-
gender
Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased
face retrieval by constructing semantic codewords for efficient
large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.
- 2013-11-20 00:42:07下载
- 积分：1
