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modeloQa
It is a simulation OFDM with CP. there are modulator, FFT/IFFT, channel AWGN.
- 2013-12-13 00:28:18下载
- 积分:1
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PA1-start-Matlab
matlab image process
- 2015-01-20 10:13:40下载
- 积分:1
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program
matlab 贝叶斯分类器+bayesian 程序(Bayesian classifier matlab program+ bayesian)
- 2010-03-04 22:12:37下载
- 积分:1
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rbf_1_01
径向基函数神经网络Matlab源代码,非常实用(Radial basis functions are use for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
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- 2013-03-15 16:14:38下载
- 积分:1
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MATLAB-Tutorial-whole-plot
MATLAB作图教程、详细的一维、二维、三维作图的教程。(MATLAB drawing tutorials, detailed one-dimensional, two-dimensional, three-dimensional mapping tutorial.)
- 2013-09-02 08:57:38下载
- 积分:1
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B
说明: Matlab for plotting capacity vs power
- 2011-11-23 16:53:37下载
- 积分:1
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genhurst
计算赫斯特指数Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution
<|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)]
The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.(Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution
<|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)]
The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.)
- 2015-03-09 01:26:14下载
- 积分:1
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isodata
用MATLAB实现动态聚类或迭代自组织数据分析算法(ISODATA)可实现对二维数据的聚类(Iterative Self-Organizing Data Analysis Technique(ISODATA) programed in MATLAB, for 2-D data clustering)
- 2012-06-11 21:49:27下载
- 积分:1
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leach1
leach的matlab程序,欢迎大家下载!(leach matlab)
- 2014-09-25 10:36:52下载
- 积分:1
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DFT
自己实现的一维、二维DFT。优点:变换后的低频分量在中间,弥补了matlab库函数的不足(高频分量在中间)(Realize their own one-dimensional, two-dimensional DFT. Advantages: low-frequency components after the transformation in the middle, made up for the inadequacy of matlab library function (high-frequency component in the middle))
- 2007-09-14 15:36:10下载
- 积分:1