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Runge_kutta2
2阶Runge_kutta解微分方程
调用格式同ode45，
f为微分方程函数，a b为积分区间，x0初值
h为步长，默认为0.001(Differential Equation of Order 2 Runge_kutta call format with ode45, f for the differential function, ab for the integration interval, x0 h for the initial step, the default is 0.001)
- 2011-05-24 11:40:19下载
- 积分：1
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GA
说明： a method towards Genetic Algorithm
- 2014-12-19 16:02:28下载
- 积分：1
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LCL_Filter_Design
LCL型滤波并网逆变器双环控制参数设计与优化，对工程实践的指导作用明显(LCL type filter and inverter loop control parameter design and optimization, the guiding role of engineering practice significantly)
- 2013-12-24 20:59:46下载
- 积分：1
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PV-connected-to-grid
PV WITH THREE PHASE INVERTER
- 2012-11-07 21:46:17下载
- 积分：1
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1
为作业最终的仿真结果与分析
PL_free.m：free space path loss model
PL_logdist.m: log-distance path loss model
PL_lognorm.m: log-normal shadowing path loss model
plot_PL_general.m: plot the figures
itum.m: ITU M.1225 vehicular-B(120km/hr) channel model
AWGN.m: create AWGN channel object(The final for the job simulation results and analysis PL_free.m: free space path loss model PL_logdist.m: log-distance path loss model PL_lognorm.m: log-normal shadowing path loss model plot_PL_general.m: plot the figures itum.m: ITU M.1225 vehicular-B (120km/hr) channel model AWGN.m: create AWGN channel object)
- 2013-12-09 22:28:31下载
- 积分：1
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RBF-network-sliding
基于RBF网络补偿的控制输入受限滑模控制(Compensation control based on RBF network sliding mode control input constraints)
- 2013-11-11 13:42:58下载
- 积分：1
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image_processing
本代码在MATLAB中采用均方误差和测度两种评价参数对维纳滤波和L-R算法复原的加入噪声的运动模型和高斯模型的图像复原效果进行了比较(The code in MATLAB using the mean square error and two evaluation parameters measure the effect of exercise on the model image restoration Wiener filtering and restoration LR algorithm and Gaussian noise is added to the model were compared)
- 2014-02-17 14:54:21下载
- 积分：1
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newmark_time-domain
基于newmark法的多自由度系统瞬态分析( Transient Analysis of Multi-degree system based on Newmark method)
- 2017-01-31 02:02:57下载
- 积分：1
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rx_estimate_channel
说明： OFDM的接收和发射，是用Matlab编程实现的(OFDM receiver and launch, using the Matlab programming)
- 2005-11-30 13:13:39下载
- 积分：1
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Similarity_Measure
Similarity_Measure Image similarity measure
[sm_SSD , sm_SAD , sm_NCC ] = Similarity_Measure(im1, im2, c1, c2, w)
INDEX:
Similarity_Measure.m
Similarity_SSD.m
Similarity_SAD.m
Similarity_NCC.m
- 2009-09-25 22:17:32下载
- 积分：1
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