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ccsystems2e_Chapter09
现代通信系统（matlab版）（第二版）配套源代码
John G. Proakis等著 刘树棠 译 电子工业出版社出版(modern communication system (Matlab version) (2nd Edition) source code supporting John G. Proak Liushutang is waiting for the translation of the electronics industry published)
- 2007-05-17 21:22:28下载
- 积分：1
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deep_networks
该文档包含了利用深度学习神经网络对分类问题的详细结构(Implement deep networks for digit classification)
- 2015-03-28 20:27:51下载
- 积分：1
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sermse
OFDM 系统信噪比估计，matlab源代码(OFDM system, SNR estimation, matlab source code)
- 2009-11-05 18:02:23下载
- 积分：1
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motionvector
Motion vector detection
- 2011-04-23 02:33:46下载
- 积分：1
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spline
三次样条插值matlab程序，三次样条插值matlab程序，三次样条插值matlab程序(spline matlab)
- 2013-12-10 11:25:21下载
- 积分：1
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grayscaltransform
说明： 一个简单的色彩迁移程序，可以顺利的实现对灰度图像的上色，程序编译通过，有较好的效果(a simple relocation process color, the smooth realization of the right color to grayscale images, compiler, better results)
- 2006-02-28 09:56:04下载
- 积分：1
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MatlabSRC
说明： 精通Matlab综合辅导与指南-源程序随书带的光盘(proficient Matlab comprehensive counseling and guidance-source book with a CD-ROM)
- 2006-05-03 18:12:04下载
- 积分：1
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tuxianghuifu
利用投影重建算法从几幅2维图像中恢复三维立体图(Restorate three-dimensional map from two-dimensional images using projection reconstruction algorithm )
- 2010-05-10 13:01:42下载
- 积分：1
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sim
关于matlab信道仿真中经常用到的信道噪声函数，包括高斯白噪声，瑞利信道，赖斯信道的仿真(Channel simulation on matlab frequently used function of channel noise, including Gaussian white noise, Rayleigh Road, Lai Sixin Road Simulation)
- 2011-06-16 15:55:29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
