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7
说明： DC MOTOR SPEED CONTROL 7
- 2010-10-14 01:16:26下载
- 积分：1
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detecting_target
对雷达帧扫秒到的运动目标进行跟踪，并在MATLAB中进行仿真和验证(Frame on the radar sweep seconds to track moving objects, and carried out in the MATLAB simulation and verification)
- 2010-05-08 19:19:08下载
- 积分：1
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continuous-signal
基于matlab的连续信号的实现，包括常见的抽样函数，矩形，三角等信号(Achieve the matlab continuous signal, including the common sampling function, rectangular, triangular signal)
- 2013-04-04 13:14:17下载
- 积分：1
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LK_improved
Traditional optical flow technique that developed by Lucas and Kanade was improved with the optimized variable setting. It is quite simple and also helpful.
- 2013-10-28 12:44:58下载
- 积分：1
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M_files_chap06
This is for chapter 06
- 2013-04-08 04:20:19下载
- 积分：1
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DAB
自己写的小程序，包括了DAB系统各部分的波形及功率谱图(Write their own small procedures, including the DAB system, the various parts of the waveform and power spectrum)
- 2008-03-01 10:35:55下载
- 积分：1
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joke
说明： 本人以前做的一个笑话站，数据本人已清空，非常简洁好用！(I used to do a joke station, the data I have clear, very simple and easy to use!)
- 2010-03-29 21:40:20下载
- 积分：1
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matlabcar
基于差分背景计算车辆数量 素材是截图视频网站的一段隧道视频 通过背景差分 实现计算隧道内的车辆(Calculate the number of vehicles based on differential background material is a section of the tunnel screenshots video website video background subtraction calculation tunnel vehicles)
- 2013-04-08 20:32:45下载
- 积分：1
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MATLAB
结构分析的有限元法与MATLAB 程序设计 徐荣桥 编著（浙江大学建筑工程学院）(Structural analysis of the finite element method and MATLAB programming Xu Rong Bridge, A. (Institute of Construction Engineering, Zhejiang University))
- 2010-09-29 20:29:12下载
- 积分：1
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src-fusion
A. Fusion at the Feature Extraction Level
The data obtained from each sensor is used to compute a
feature vector. As the features extracted from one biometric
trait are independent of those extracted from the other, it is
reasonable to concatenate the two vectors into a single new
vector. The primary benefit of feature level fusion is the
detection of correlated feature values generated by different
feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy
[14]. The new vector has a higher dimension and represents the
identity of the person in a different hyperspace. Eliciting this
feature set typically requires the use of dimensionality
reduction/selection methods and, therefore, feature level fusion
assumes the availability of a large number of training data.
- 2013-03-14 16:40:42下载
- 积分：1
