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filtering
matlab编写滤波的源代码，小弟花了几天时间编写的，希望对大家有所帮助(matlab source code for the preparation of filtering, younger brother spent a few days to prepare, and I hope all of you to help)
- 2008-01-19 18:54:56下载
- 积分：1
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DSB_FM_TRANSMIT
Transmit 2 signals via DSB-SC AM
Fs= 44.1 KHz , fft fftshift
- 2009-11-29 06:02:34下载
- 积分：1
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COST231_HATA_pathloss
dvbdc cvvc vc vc vc vc vxzxcbcxbcxbbcxb
- 2011-05-16 01:34:52下载
- 积分：1
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1
说明： 基于卡尔曼滤波器的PID控制的matlab程序。(Kalman filter-based PID control)
- 2012-05-25 12:47:02下载
- 积分：1
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galileo
采用matlab simulink仿真，搭建了通信仿真系统，具有很好的参考价值，希望对你有帮助(Using matlab simulink simulation, set up communication simulation system, with a good reference value, we want to help you)
- 2013-08-07 22:33:29下载
- 积分：1
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alfa_beta1_pqbak1
三相并网逆变器abc坐标系下的PR控制器谐波补偿仿真模型(three-phase inverter harmonic compensation simulation model )
- 2016-03-27 21:36:48下载
- 积分：1
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gg_mle
DGGBETA针对广义高斯，GGDEMO，，GGD中BETA估计，广义高斯参数估计，概率密度，(DGGBETA for Generalized Gaussian, GGDEMO,, GGD in BETA estimated generalized Gaussian parameter estimation, probability density,)
- 2010-08-06 15:49:59下载
- 积分：1
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SVDcode
This code is about SVD method in seismic.
- 2009-11-12 15:28:57下载
- 积分：1
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feat_sel_entropy
feature selection for high dimensional data classification
- 2014-10-11 23:36:10下载
- 积分：1
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PID
多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)
- 2015-03-22 13:42:37下载
- 积分：1
