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CHAP4_7
说明： 基于神经网络的PID源程序 可用于学习!!(PID based on neural networks can be used to study the source code!!)
- 2009-07-31 19:58:40下载
- 积分：1
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libsvm
支持向量机以统计学习理论作为坚实的理论依据，借助优化方法解决及其学习的一种新工
具.近年来，支持向量机受到人们的广泛关注，在理论研究和算法实现方面都有了很大的突
破，成为现代机器学习的热点课题.(Support vector machine(SVM)is a new approach that can solve machine learning
problem with optimization methods. In recent years,there has been a surge of interest in
SVM.It has achieved a prodigious progress in the theory research and algorithm
implement, thus has been an active research area in machine learning)
- 2011-05-02 22:15:57下载
- 积分：1
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fecture
利用bior5.5小波对声音进行能量特征提取。小波基可以任意变换。(The sound use bior5.5 wavelet energy feature extraction. Wavelets can transform any.)
- 2014-10-27 10:38:55下载
- 积分：1
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AWGN
在高斯信道下比较各种调制信号的误比特率和误符号率(Bit error rate and symbol error rate between the various modulation signals in Gaussian channel)
- 2016-11-17 09:54:17下载
- 积分：1
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RETINEX
本源码是基于多尺度的retinex理论的实现代码，针对灰度和彩色图像均可使用！！
(The source is based on the theory of multi-scale retinex implementation code for gray and color images can be used! !)
- 2010-08-13 15:26:07下载
- 积分：1
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filter
用自编函数进行均值滤波、中值滤波、高斯滤波，并与matlab自带函数进行比较(own code with function of mean filter, median filter, Gaussian filter)
- 2009-05-20 20:05:35下载
- 积分：1
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matlab_GUI_1
说明： matlab gui入门视频，希望给大家学习有帮助(matlab gui entry video, I hope to help them to learn)
- 2011-04-16 14:20:50下载
- 积分：1
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ASK
在MATLAB中的数字信号ASK调制解调(ASK modulation and demodulation)
- 2011-04-29 14:13:55下载
- 积分：1
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pretfuwg
LDPC码的完整的编译码，music高阶谱分析算法，最小均方误差（MMSE）的算法，基于欧几里得距离的聚类分析，BP神经网络用于函数拟合与模式识别，单径或多径瑞利衰落信道仿真，外文资料里面的源代码，MIMO OFDM matlab仿真。( Complete codec LDPC code, music higher order spectral analysis algorithm, Minimum mean square error (MMSE) algorithm, Clustering analysis based on Euclidean distance, BP neural network function fitting and pattern recognition, Single path or multipath Rayleigh fading channel simulation, Foreign materials inside the source code, MIMO OFDM matlab simulation.)
- 2016-04-02 22:58:27下载
- 积分：1
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music(doa)
七单元天线阵MUSIC DOA估计：
d=1 ， 天线阵元的间距；
lma=2， 信号中心波长；
四输入信号；
A=[A1,A2,A3,A4]， 得出A矩；
四信号的频率d=[1.3*cos(v1*n)
1*sin(v2*n)
1*sin(v3*n)
1*sin(v4*n)]
构造输入信号矢量
U=A*d
总的输入信号
总输入信号的协方差矩阵
[s,h]=eig(c)
求协方差的特征矢量及特征值
取出与零特征值对应的特征矢量
求协方差矩阵的逆矩阵
应用Music法估计输出
绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)
- 2013-04-15 23:48:49下载
- 积分：1
