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xiaoboshenjingwangluo
说明： 搜集的小波神经网络程序
初学小波神经网路，四处搜集的代码，希望与大街共同讨论学习：
小波神经网络、遗传算法优化神经网络代码，测试可以使用，但具体的原理不是很懂
(Wavelet neural network program to collect beginners neural network, collected around the code, I hope to discuss with the Avenue Learning: neural network, genetic algorithm neural network code, test can be used, but not really understand the principle of specific)
- 2011-03-08 11:36:25下载
- 积分：1
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05375661
PAPR reduction in OFDM systems
- 2011-01-03 17:17:12下载
- 积分：1
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kd
说明： 根据前人研究成果可以证明，煤镜质组反射率各向异性对煤田构造特征具有指示意义，镜质组最小反射率可以指示构造主应力方向。然而，在实际测量中，如何得到真正的镜质组最大、最小反射率及其方位是其中的关键环节。利用现有的岩石有限应变椭球拟合方法进行镜质组反射率椭球体拟合不失为一种行之有效的方法，可以由此确定镜质组最大、最小、中间反射率及其三维空间方位。
将之前拟合得到的反射率椭圆看作岩石有限应变椭圆即二维应变，其由之前的统计方法测定得到，三个截面的数据对于拟合唯一应变椭球来说是过多的，因此不可避免出现误差，导致三个截面应变椭圆不通过同一个椭球的情况。为了从三个截面数据得到唯一的应变椭球，需要对得到的数据进行相容性调整。采用Oertel的方法，从每一测量参数在不同截面中的值是正态分布这一假定出发，利用加权最小二乘法进行误差调整。(According to results of previous studies may prove vitrinite reflectance anisotropy on structural characteristics have implications for coal, vitrinite reflectance may indicate tectonic minimum principal stress directions. However, in actual measurement, how to get real vitrinite maximum, minimum reflectivity and its orientation is the key link. Conduct vitrinite reflectance ellipsoid fitting regarded as a proven method using existing rock finite strain ellipsoid fitting method can thus determine vitrinite maximum, minimum, intermediate reflectance and dimensional spatial orientation .
Before fitting the reflectance of finite strain ellipse oval rock that is seen as a two-dimensional strain, as determined by statistical methods which have been before the data fit only for the three sections of the strain ellipsoid is excessive, and therefore can not to avoid errors, resulting in three elliptical cross-section does not pass through the same strain ellipsoid situation. In order to obtai)
- 2014-11-12 11:06:13下载
- 积分：1
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VCreadfilesbyline(.TXT)
逐行读取文本中的数据，自动存储到一个序列数组中(Text data read line by line, is automatically stored into an array sequence)
- 2013-10-07 11:26:06下载
- 积分：1
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mcmc
MCMC方法主要是为了解决有些baysian推断中参数期望E(f(v)|D)不能直接计算得到的问题的。
其中v是要估计的参数，D是数据观察值(The concept consists of two parts:markov chain and monte carlo integration。)
- 2016-11-25 23:33:43下载
- 积分：1
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DOA_music
使用MATLAB软件对智能天线进行DOA估计的MUSIC算法仿真研究，希望对大家学习有帮助(Using MATLAB software on smart antennas for DOA Estimation Algorithm for Simulation of MUSIC, in the hope that will help them to learn)
- 2009-07-02 16:10:12下载
- 积分：1
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Mppt
Description about Mppt algorithm
- 2013-02-06 13:22:07下载
- 积分：1
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matlab-ming-ling-da-quan
matlab命令大全，各种指令都有，有助于学习(matlab command Daquan, various instructions are conducive to learning)
- 2013-04-08 09:18:18下载
- 积分：1
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ifftnc
signal and ssystem matlab function
change inverse fourier transfom
frequency domain to time domain
- 2011-12-13 00:20:09下载
- 积分：1
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LMS
LMS算法实现自适应滤波
clear close all clc
N=10000 设置仿真长度
信号产生参数设定
a1=-0.195
a1=-1.5955
a2=0.95
R0=[1,a1,a2 a1,1+a2,0 a2,a1,1]
p=[1,0,0]
r=inv(R0)*p 计算理论自相关函数
R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵
p1=[r(2),r(3)] 生成互相关
h=inv(R)*p1 计算维纳解
Jmin=r(1)-h *p1 计算维纳解时最小均方误差
u=1/sum(eigs(R)) ( LMS算法实现自适应滤波
clear close all clc
N=10000 设置仿真长度
信号产生参数设定
a1=-0.195
a1=-1.5955
a2=0.95
R0=[1,a1,a2 a1,1+a2,0 a2,a1,1]
p=[1,0,0]
r=inv(R0)*p 计算理论自相关函数
R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵
p1=[r(2),r(3)] 生成互相关
h=inv(R)*p1 计算维纳解
Jmin=r(1)-h*p1 计算维纳解时最小均方误差
u=1/sum(eigs(R)) )
- 2021-03-01 22:29:34下载
- 积分：1
