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ParallelImageFiltering
Parallel image filtering test
- 2010-01-19 17:41:02下载
- 积分:1
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SVG
SVG静止无功补偿的模型,运用瞬时无功电流控制方法进行补偿(SVG static var compensation model, the use of instantaneous reactive current control method to compensate)
- 2021-04-14 19:28:55下载
- 积分:1
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重力异常正演
说明: 计算长方形产生的重力异常,理论计算和具体的实现方法.(Calculation of gravity anomaly caused by rectangle)
- 2019-12-02 14:29:58下载
- 积分:1
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hurst_expo.m
hurst parameter: 給入一序列的資類,程式會畫出husrt 參數的figure和估計值
例 hurst_expo(sin(0:0.01:5*pi)) (hurst parameter: the sequence into a category of funding, the program will draw the figure and husrt parameter estimates were hurst_expo (sin (0:0.01:5* pi)) )
- 2009-05-12 13:08:25下载
- 积分:1
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fnpll
小数分频PLL的matlab源代码,包含二阶sigma-delta调制器的源码。(Fractional PLL the matlab source code)
- 2011-04-20 22:18:20下载
- 积分:1
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SIRwithQ
用matlab程序编写的一个三维雷达跟踪粒子滤波器,超强!!!(Matlab programming with three-dimensional radar tracking of a particle filter, super! ! !)
- 2010-05-11 20:44:02下载
- 积分:1
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simulation-selmic-(neural-network-control-with-ac
this is a maltab/sumulink simulation of &a novel adaptive neural control of nonlinear systems with actuator saturation,it simulates the algorithm proposed by slemic in 2004.
- 2012-08-22 21:26:26下载
- 积分:1
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fig7_5b
We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.
- 2013-05-02 02:54:15下载
- 积分:1
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LoginFilter_src
Login password filters in WinXP login screen.
- 2007-11-14 11:15:12下载
- 积分:1
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yizhonggaijindeliziqunsuanfa
粒子群算法是求解函数优化问题的一种新的进化算法,然而它在求解高维函数时容易陷入局部最优,为了克服这个缺点,提出了一种新的粒子群算法,算法对粒子的速度和位置更新公式进行了改进,使粒子在其最有位置的基础上进行位置更新,增强了算法的寻优(PSO for solving function optimization problems is a new evolutionary algorithm, but it is easy to solve high-dimensional function into local optimum, in order to overcome this shortcoming, a new particle swarm algorithm, algorithm on the particle velocity and location of the update formula has been improved, so that particles in the most positions on the basis of location updates, enhancements, optimization algorithm)
- 2010-10-05 14:54:32下载
- 积分:1