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PAPR
Obtain the CDF plots of PAPR from an OFDM BPSK transmission specified per IEEE 802.11a specification
Per the IEEE 802.11a specifications, we 52 have used subcarriers. Given so, the theoretical maximum expected PAPR is 52 (around 17dB). However, thanks to the scrambler, all the subcarriers in an OFDM symbol being equally modulated is unlikely.
Using a small script, the cumulative distribution of PAPR from each OFDM symbol, modulated by a random BPSK signal is obtained
- 2008-03-18 15:59:03下载
- 积分：1
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ex_Control
MATLAB 7.0编程基础基础源程序,很经典(MATLAB 7.0 basis source based programming, classic)
- 2006-09-26 16:49:51下载
- 积分：1
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1
说明： for load data in matlab
- 2011-07-18 00:09:59下载
- 积分：1
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Q3
说明： car parking correctly by Fuzzy controller TS method
- 2015-01-26 02:13:19下载
- 积分：1
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ePic212
这是一个用来控制机器人ePuck的matlab GUI.通过它，使用者可以获取一切关于ePuck的感应器信息。(this is the matlab GUI program used on the robot ePuck.User can control the robot through it and also obtain the sensor reading.)
- 2009-02-22 01:14:49下载
- 积分：1
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Correlation-in-hourly-records-Software
Correlation and predection of power demand for power system
- 2013-11-18 17:26:33下载
- 积分：1
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add_gauss_white_noise_or_salt_and_pepper_noise
使用这个matlab程序，你可以对图像实现加高斯白噪声或者椒盐噪声(whth this matlab code，You can add Gaussian white noise or salt and pepper noise on the purpose image )
- 2010-10-22 21:22:17下载
- 积分：1
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lu19
本例利用小波分析检测信号中的奇异点并消除(Using wavelet analysis of signal singularity detection and elimination in)
- 2012-05-16 15:18:11下载
- 积分：1
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speech
自适应噪声消除滤波器！是采用的语音信号！欢迎大家下载！(Adaptive noise cancellation filter! Is the use of the voice signal! Welcome to download!
)
- 2011-10-19 17:37:43下载
- 积分：1
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RVM_matlabToolBox
相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)
- 2013-11-21 11:05:48下载
- 积分：1
