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hough
利用经典hough变换提取的图像，执行到第六个end时 matlab变得超卡，无法响应了，也不显示图像（该释放的要释放）(Hough transform to extract using the classical image of the implementation of the sixth end when matlab become super card, unable to respond, and do not display images (the release to release))
- 2010-01-28 14:43:32下载
- 积分：1
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fouriertransform
该m文件是数字信号处理实验课上的实验4：离散傅里叶变换(The m-file is an experimental four experimental course on digital signal processing: the Discrete Fourier Transform)
- 2015-03-02 17:57:48下载
- 积分：1
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diffcoding
Communication projects it is good
- 2013-03-28 22:29:20下载
- 积分：1
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ZF
说明： 迫零预编码是基于单小区，简单且实用的信道检测算法，用于和MMSE多小区用户的信道检测比较(Zero-forcing precoding is based on a single-cell, channel detection is relatively simple and practical channel detection algorithm for multi-cell users and MMSE)
- 2015-03-25 10:04:56下载
- 积分：1
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TMMforSpolarization
传输矩阵计算程序。该程序用于计算膜系(薄膜）的透射反射比例。(tansmission matrix method for calculation of the reflection coefficient and transmissive coefficient of the thin films)
- 2010-09-25 11:00:30下载
- 积分：1
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PnGen
PN序列生成函数, 测试代码. 带有一组生成多项式(failed to translate)
- 2020-07-03 12:40:02下载
- 积分：1
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Viterbi
通信原理中维比特算法编码，主要用于卷积码的译码(Viterbi algorithm)
- 2012-05-05 17:34:44下载
- 积分：1
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ACO_Peng_V4
这是我用matlab编写的，利用蚁群算法（ACO）求连续函数最优解的源码。是对段海滨《蚁群算法原理及应用》一书中，网格策略法的实现。(This is my prepared using Matlab, using ant algorithms (ACO) function for the optimal solution for the source code. On the waterfront of the "ant colony algorithm and application of the principle of" one book, mesh Strategy Implementation Act.)
- 2007-04-19 12:20:26下载
- 积分：1
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MATLAB_HOG
hog特征提取，应用matlab但是没有opencv简便，仅供参考。(hog feature extraction, application matlab but no easy opencv, for reference purposes only.)
- 2014-08-25 15:25:04下载
- 积分：1
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代码
说明： MATLAB 代码
第1章 BP神经网络的数据分类——语音特征信号分类
第2章 BP神经网络的非线性系统建模——非线性函数拟合
第3章 遗传算法优化BP神经网络——非线性函数拟合
第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优
第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模
第6章 PID神经元网络解耦控制算法——多变量系统控制
第7章 RBF网络的回归--非线性函数回归的实现
....等58章(MATLAB code
The first chapter is BP neural network data classification -- speech characteristic signal classification
The second chapter is the nonlinear system modeling of BP neural network nonlinear function fitting
The third chapter, genetic algorithm optimization BP neural network - nonlinear function fitting
The fourth chapter, neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking
The fifth chapter is based on BP_Adaboost's strong classifier design -- the company financial early-warning model
The sixth chapter is PID neural network decoupling control algorithm multivariable system control
The seventh chapter is the regression of RBF network the realization of nonlinear function regression
.........the last is 58 chapters)
- 2020-11-06 21:09:49下载
- 积分：1
