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MIMO-OFDM
在MIMO2*2的无线信道环境下,运用OFDM(Orthogonal Frequency Division Multiplexing)即正交频分复用技术,发送信号,经过奇异值分解预编码,调制,在接收端解调,均衡,最终等到估计信号,并计算了整个系统的误码率;(In the wireless channel environment MIMO2* 2, the use of OFDM (Orthogonal Frequency Division Multiplexing) that is an orthogonal frequency division multiplexing, transmission signal, through a singular value decomposition of the pre-encoding, modulation, demodulation at the receiver, equalization, until the final estimated signal, and calculate the error rate of the whole system )
- 2021-02-08 19:49:54下载
- 积分:1
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psnr-of-matlab
计算图像峰值信噪比psnr的matlab源程序(matlab for psnr)
- 2013-03-21 09:41:06下载
- 积分:1
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liftingwavelet
此程序用提升法实现第二代小波变换,分析对象是wbarb(Use this procedure to upgrade laws to achieve the second-generation wavelet transform, the analysis is wbarb)
- 2009-04-24 23:04:00下载
- 积分:1
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Adaboost
matlab实现AdaBoost,弱分类算法包括fisher 伪逆 svm naivebayes 决策树。(matlab implements AdaBoost, weak classification algorithms include fisher pseudoinverse svm naivebayes tree.)
- 2021-01-22 16:38:40下载
- 积分:1
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AGAandLAGA
两种改进的遗传算法(自适应交叉概率的遗传算法,加入领域竞争策略的遗传算法)相比较的matlab程序,基于UCI的两个数据集,可直接运行程序观察效果。(both improved genetic algorithm (adaptive crossover probability of genetic algorithm, to field a competitive strategy of genetic algorithm) compared to the Matlab procedures, the UCI based on two data sets, can run the program directly observe the effect.)
- 2007-04-11 14:45:08下载
- 积分:1
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gridmat
grid lab grid mat code for power system analysis
- 2014-09-08 04:37:26下载
- 积分:1
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OFDMinAWGNandRayleigh
白噪声和瑞利信道下对OFDM的仿真实现,不错,推荐给大家。(White noise and Rayleigh channel simulation of the OFDM to achieve)
- 2014-09-22 06:26:34下载
- 积分:1
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hyperChaos
超混沌,用于显示各种经典的超混沌系统的方程及其混沌吸引子 非常好 可以直接使用(hyper-chaos)
- 2009-03-14 14:18:21下载
- 积分:1
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foufan_v83
计算时间和二维直方图,利用贝叶斯原理估计混合logit模型的参数,DC-DC部分采用定功率单环控制。( Computing time and two-dimensional histogram, Bayesian parameter estimation principle mixed logit model, DC-DC power single-part set-loop control.)
- 2016-06-03 14:08:51下载
- 积分:1
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1
说明: 在命令窗输入如下内容就得到图形了:
[t,x]=ode45( godhua ,[0,10],[0,0,0,1])
subplot(131) plot(t,x(:,4)) xlabel( t ) ylabel( y )
subplot(132) plot(t,x(:,1)) xlabel( t ) ylabel( v )
subplot(133) plot(t,x(:,2)) xlabel( t ) ylabel( \theta ) (At the command window type the following content to be the graphics: [t, x] = ode45 (godhua, [0,10], [0,0,0,1]) subplot (131) plot (t, x (:, 4 )) xlabel (t) ylabel (y) subplot (132) plot (t, x (:, 1)) xlabel (t) ylabel (v) subplot (133) plot (t, x (:, 2)) xlabel ( t) ylabel (heta))
- 2007-12-09 20:16:04下载
- 积分:1