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chapter10-CDMA-system-silulation
CDMA系统仿真,包括CDMA基本原理及cdma2000通信系统仿真。(cdma system simulation, include princple of cdma and cdma 2000 system simulation)
- 2012-11-13 20:07:12下载
- 积分:1
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matlab_code
super resolution source code for Matlab
- 2010-07-18 04:05:47下载
- 积分:1
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gaosi
说明: 对原始图像添加高斯噪声,并用邻域平均和中值滤波法进行滤波,并可以进行对比。(Gaussian noise added to the original image, and use neighborhood average and median filtering method for filtering, and can be compared.)
- 2011-02-21 13:18:13下载
- 积分:1
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dipum_toolbox_registered
Digital Image Processing tool box
- 2009-12-12 13:54:44下载
- 积分:1
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pst3
一个较好的MATLAB潮流程序PST(power system toolbox,version3),可以进行电力系统分析,其中包含使用说明书。(A good matlab program by which we could make power system analysis. there is a user guide in this file.)
- 2012-04-14 11:22:30下载
- 积分:1
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4_mbd_project_ver2
mbd project control systems, hope this helps people
- 2011-05-25 08:49:48下载
- 积分:1
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total
this m file make unique comparison between MVDR, SMI and DMR methods for adaptive array processing. the focus is in estimating the PDF function of the normalized SNR
- 2014-09-07 14:21:04下载
- 积分:1
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MotorInducao
motor de induccion matlab
- 2014-11-02 23:10:37下载
- 积分:1
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mtspf_ga
遗传算法的matlab实现。本人已经运行通过,只需换下数据即可直接使用(Genetic algorithm matlab realize. I have run through, just replaced the data can be used directly)
- 2013-09-11 23:45:41下载
- 积分:1
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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