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k_means
一个简单的k-means分类方法，有详细的解释，能直接运行的。(A simple k-means classification method, and a detailed explanation can be run directly.)
- 2010-11-11 21:23:59下载
- 积分：1
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retrans
this file simulates transmiter in relay node of cooperative ofdm communication
- 2010-05-08 03:43:08下载
- 积分：1
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junyun
基于matlab的数字频带通信系统仿真，实现对采样信号的均匀量化(To achieve uniformity of the sampling signal quantification)
- 2010-05-29 15:35:28下载
- 积分：1
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HHT-transform
本程序主要通过EMD和hilbert求IMF，作出HHT归一化能量谱图（三维图），边际谱图和瞬时能量图，并做完备性验证(The program primarily through EMD and hilbert seek IMF, to HHT normalized energy spectrum (three-dimensional map), the marginal spectrum and the instantaneous energy map, and do a complete validation)
- 2011-11-01 16:14:08下载
- 积分：1
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NSIP
triangular-signal empirical mode decomposition with samples
- 2015-02-03 00:36:15下载
- 积分：1
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Hilbert-Huang-Transform
信号的希尔伯特-黄变换，IMF分解，对IMF进行Hilbert处理，绘制二维/三维时-频图，时间-能量图(瞬时能量谱) ，频率-能量图（希尔伯特谱）(Hilbert signals- Huang Transform, IMF decomposition of the IMF Hilbert processing, rendering 2D/3D time- frequency diagram, time- energy (instantaneous energy spectrum), the frequency- energy (Hilbert spectrum))
- 2021-04-25 22:18:46下载
- 积分：1
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MIMO
仿真2*2MIMO通信系统ML、ZF、MMSE检测算法性能，给出三种检测算法的误比特率。(Multi-input multi-output (mimo) communication system simulation 2* 2 ML, ZF and MMSE detection algorithm performance, the bit error rate of three detection algorithms is given.)
- 2020-11-13 11:59:43下载
- 积分：1
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MATLABE-BOOK
裡面有相關的MATLAB教學
大家有需要的可以參考看看唷(inside relevant MATLAB teaching you can refer to the need to look at the Police)
- 2006-11-06 11:51:11下载
- 积分：1
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SSRHE
这是SSR算法与直方图均衡化相结合的matlab代码，可以增强模糊且较暗的图像。
(this is SSR algorithm and HE。。。)
- 2011-09-22 23:21:20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
