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Origin
一款比较新的绘图软件的电脑书籍，比MATLAB更容易实现(A relatively new mapping software to computer books, is more easily achieved than in MATLAB)
- 2009-10-22 10:22:35下载
- 积分：1
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Face-Detection
Face Detection using Gabor feature extraction and neural network by matlab
- 2010-12-16 20:05:03下载
- 积分：1
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perspective_proj
数字图像处理运用matlab实现3D透视投影(Digital image processing using matlab to achieve 3D perspective projection)
- 2020-09-02 19:58:07下载
- 积分：1
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msvr
实现多输出的支持向量机回归，不需要对每一个输出都进行函数回归(Multi-output support vector machine regression，Each output does not need to be a function of the regression)
- 2013-11-29 10:43:56下载
- 积分：1
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CompareTo
Compare To Source Code for Andriod.
- 2014-01-01 11:14:59下载
- 积分：1
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Time-Varying Formation Control
说明： 摘要地层控制分析与设计问题
无人机（UAV）群系统实现时间。
研究了不同的地层。达到预定时间-
无人机的编队、编队协议各不相同。
首先是群系统，无人机的速度可能不同
当到达编队时。然后，基于共识的方法
用于处理时变信息的形成控制
无人机群系统的问题。必要和充分
无人机群系统实现时变的条件
提出了构造方案。(Abstract-formation control analysis and design problems for
unmanned aerial vehicle (UAV) swarm systems to achieve time.
varying formations are investigated. To achieve predefined time-
varying formations, formation protocols are presented for UAV
swarm systems first, where the velocities of UAVS can be different
when achieving formations. Then, consensus-based approaches
are applied to deal with the time-varyin formation control
problems for UAV swarm systems. Necessary and sufficient
conditions for UAV swarm systems to achieve time-varying
formations are proposed.)
- 2019-06-14 17:14:43下载
- 积分：1
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generalnyquist
Generalized Nyquist diagram for stability analysis of linear time invariant systems (Nyquist on arbitrary contour)
- 2009-07-11 22:23:25下载
- 积分：1
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myperT4
constructive role of noise in signal detection from parallel arrays of quantizers.(A noisy input signal is observed by means of a parallel array of one-bit threshold quantizers,in which all the quantizer outputs are added to produce the array output.s(t)=s1(t)with prior probability P0,or s(t)=s0(t)with prior probability P1=1-P0 input signal-noise mixture x(t)=s(t)+n(t) x(t) is observed by means of a parallel array of M threshold comparators. yi(t)=U[x(t)+wi(t)-theta],i=1,2...M.wi(t) is threshold noise.Y(t)=y1(t)+y2(t)+...yM(t), the array output Y(t) is meansured at T distinct times.the plot is fthe theoretical value of minimal detection error probability Per varied with sigma.)
- 2011-06-23 10:12:09下载
- 积分：1
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cable2
XPL cabel analyse and modelisation
- 2013-10-01 15:16:08下载
- 积分：1
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test
test BPSK ofdm add awgn ber
- 2012-10-04 11:18:37下载
- 积分：1
