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Rayleigh_fading_channel
Implement a Rayleigh fading channel simulator based on
the Filtered Gaussian Noise method
- 2010-08-11 04:47:16下载
- 积分:1
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2d--FEM
二维简单理想导体方柱在MATLAB环境下实现自动剖分,编码。自己整合方程并且求解,得到各点的场值(Simple two-dimensional perfectly conducting square cylinder in the MATLAB environment for automatic generation, coding. Their integration and for solving equations, the various points of market value)
- 2008-06-04 16:30:01下载
- 积分:1
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matlab_Graphics_applications_1
分别给出了三角函数曲线(1)、三角函数曲线(2)、图形的叠加、双y轴图形的绘制、单个轴窗口显示多个图形、图形标注、条形图形、区域图形的matlab样例代码,简单实用。(Were given trigonometric curve (1), trigonometric curve (2), graphics overlay, double y-axis graph drawing, a single-axis window displays the number of graphics, graphic mark, bar graph, area graph matlab sample code, simple and practical.)
- 2010-01-08 10:53:48下载
- 积分:1
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Genetic-algorithm-matlab-code
遗传算法matlab代码,很不错,值得看看(Genetic algorithm matlab code, very good, worth a look)
- 2013-11-15 16:56:24下载
- 积分:1
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ofdmwaterfilling
经典的注水算法 可用来解决信道中质量好的信道多分功率,质量差的少分。(Classical algorithm can be used to solve the water quality channel multi-channel power, a smaller share of poor quality.)
- 2009-05-08 16:28:24下载
- 积分:1
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inpudlg_inv
input dlg with more columns
- 2010-12-03 00:21:09下载
- 积分:1
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msl
改程序在噪声幅度与信号幅度相当的情况下,运用MSL算法能够实现原信号的优良输出。(Magnitude of change procedures and the amplitude of the signal in the noise equivalent circumstances, the use of the original signal MSL algorithm can achieve good output.)
- 2011-01-06 03:51:36下载
- 积分:1
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3
说明: 产生线性调频信号,Matlab仿真实现雷达线性调频信号,并表现出线性调频信号的时域图和幅频、相频图(LFM signal generation, Matlab simulation of radar chirp signal, and the performance of a linear FM signal in time domain and amplitude frequency diagram, phase-frequency diagram)
- 2011-04-25 13:09:08下载
- 积分:1
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P0610
此段代码实现的功能是:用matlab实现了一个神经网络的实例3.(This code implementation is the function: The implementation of a neural network matlab example 3.)
- 2011-05-12 11:53:00下载
- 积分:1
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sinorder
为sinudoidal模型的AIC阶估计.AIC信息准则即Akaike information criterion,是衡量统计模型拟合优良性的一种标准,又由于它为日本统计学家赤池弘次创立和发展的,因此又称赤池信息量准则。它建立在熵的概念基础上,可以权衡所估计模型的复杂度和此模型拟合数据的优良性。
在一般的情况下,AIC可以表示为: AIC=2k-2ln(L)
其中:k是参数的数量,L是似然函数。 假设条件是模型的误差服从独立正态分布。 让n为观察数,RSS为剩余平方和,那么AIC变为: AIC=2k+nln(RSS/n)
增加自由参数的数目提高了拟合的优良性,AIC鼓励数据拟合的优良性但是尽量避免出现过度拟合(Overfitting)的情况。所以优先考虑的模型应是AIC值最小的那一个。赤池信息准则的方法是寻找可以最好地解释数据但包含最少自由参数的模型。(AIC order estimation for sinudoidal model)
- 2013-12-05 13:18:54下载
- 积分:1