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MinimumCost
Classify using the minimum error criterion via histogram estimation of the densities(classifies using the minimum error criterio n via histogram estimation of the densities)
- 2007-01-31 10:41:56下载
- 积分：1
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NonlinearModel_Robot1Link
identification nonelinear model single tank with ARX model
- 2015-03-31 15:31:16下载
- 积分：1
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identification
使用FFT变换在频域对宽带扩频信号中的正弦干扰信号进行识别和抑制，其中扩频信号由1024点的伪随机序列表示(FFT transform the use of broadband in the frequency domain spread spectrum signal of sinusoidal interference signal identification and suppression, in which spread spectrum signal points from 1024 pseudo-random sequence that)
- 2009-07-04 10:01:31下载
- 积分：1
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zuiyoungganraoboshuk
这是最优波束形成过程的仿真，图形效果很好(This is the optimal beam-forming process simulation, graphic works well)
- 2012-08-08 19:10:56下载
- 积分：1
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steerable_filters
Implements the 1st and 2nd order Gaussian derivative steerable filter in matlab.The oriented first order derivative can be obtained by taking the dot product of a unit vector oriented in a specific direction with the gradient. The basis filters are the partial derivatives of a 2D Gaussian with respect to x and y
- 2014-12-05 13:56:40下载
- 积分：1
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sxbwsvpwm1
一种基于锁相环控制的三相并网逆变器控制系统仿真。(A three-phase grid inverter control based on hysteresis control system simulation.)
- 2016-05-18 22:28:02下载
- 积分：1
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DCTCOMPRESSION
DCT COMPRESSION USING MATLAB
- 2010-12-08 10:52:09下载
- 积分：1
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DSSS-
DSSSmatlab代码 开发流程，开发流程(DSSSmatlab code)
- 2011-07-29 16:57:23下载
- 积分：1
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FTF
FTF自适应算法
求：自适应滤波器的两个权值ω0 (n)和ω1(n)分别收敛于0.2和0.7的收敛轨迹，并与LMS算法进行对比。(FTF adaptive algorithm
Requirements: two weights ω0 is (n) of the adaptive filter and ω1 (n) converges to 0.2 and 0.7, convergence trajectory, and compared with the LMS algorithm.)
- 2020-12-10 23:39:18下载
- 积分：1
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photovoltaic-panel_matlab
photovoltaic solar panel model in maltab simulink We noted that the performances of a
generator photovoltaic are strongly influenced by the climatic
conditions, particularly the solar irradiation and the photovoltaic
temperature of the module.
- 2014-12-10 20:22:16下载
- 积分：1
