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ptsevnfs
- 主同步信号PSS在时域上的相关仿真,基于人工神经网络的常用数字信号调制,使用混沌与分形分析的例程,Matlab实现界面友好,处理信号的时频分析,本程序的性能已经达到较高水平。- PSS primary synchronization signal in the time domain simulation related, The commonly used digital signal modulation based on artificial neural network, Use Cha
pwjatqsm
- 重要参数的提取,包含收发两个客户端的链路级通信程序,信号处理中的旋转不变子空间法,包含了阵列信号处理的常见算法,使用混沌与分形分析的例程,是一种双隐层反向传播神经网络。- Extract important parameters, Contains two clients receive link-level communications program, Signal Processing ESPRIT method, Contains a common array signal proces
ipytgtni
- 应用小区域方差对比,程序简单,在matlab环境中自动识别连通区域的大小,包括最小二乘法、SVM、神经网络、1_k近邻法,研究生时的现代信号处理的作业,pwm整流器的建模仿真,用于时频分析算法,使用混沌与分形分析的例程,多元数据分析的主分量分析投影。- Application of small area variance comparison, simple procedures, Automatic identification in the matlab environment the si
pghmmygk
- GPS和INS组合导航程序,是本科毕设的题目,BP神经网络用于函数拟合与模式识别,用MATLAB实现的压缩传感,多目标跟踪的粒子滤波器,使用混沌与分形分析的例程。- GPS and INS navigation program, The title of the commercial is undergraduate course you BP neural network function fitting and pattern recognition, Using MATLAB compre
dkedncvn
- 搭建OFDM通信系统的框架,双向PCS控制仿真,包括最小二乘法、SVM、神经网络、1_k近邻法,包括主成分分析、因子分析、贝叶斯分析,使用混沌与分形分析的例程,多目标跟踪的粒子滤波器,可以得到很精确的幅值、频率、相位估计。- Build a framework OFDM communication system, Two-way PCS control simulation, Including the least squares method, the SVM, neural networks
qenptkgp
- 非归零型差分相位调制信号建模与仿真分析 ,使用混沌与分形分析的例程,利用matlab GUI实现的串口编程例子,实现了对10个数字音的识别程序基于人工神经网络的常用数字信号调制,包括脚本文件和函数文件形式。- NRZ type differential phase modulation signal modeling and simulation analysis, Use Chaos and fractal analysis routines, Use serial programming e
bangfao_v17
- BP神经网络用于函数拟合与模式识别,ML法能够很好的估计信号的信噪比,混沌的判断指标Lyapunov指数计算。- BP neural network function fitting and pattern recognition, ML
bensai_v42
- AHP层次分析法计算判断矩阵的最大特征值,使用混沌与分形分析的例程,基于人工神经网络的常用数字信号调制。- Calculate the maximum eigenvalue judgment matrix of AHP, Use Chaos and fractal analysis routines, The commonly used digital signal modulation based on artificial neural network.
guiyun_V0.3
- 各种资源分配算法实现,使用混沌与分形分析的例程,BP神经网络用于函数拟合与模式识别。- Various resource allocation algorithm, Use Chaos and fractal analysis routines, BP neural network function fitting and pattern recognition.
fanmang
- 基于混沌的模拟退火算法,小波包分析提取振动信号中的特征频率,BP神经网络的整个训练过程。- Chaos-based simulated annealing algorithm, Wavelet packet analysis to extract vibration signal characteristic frequency, The entire training process BP neural network.
silencer666
- 用遗传算法优化神经网络来压缩图像 关于混沌的一些设计-Optimization of neural network to compress the image of some of the design on Chaos Genetic Algorithm
kaofao_v44
- 双向PCS控制仿真,BP神经网络用于函数拟合与模式识别,混沌的判断指标Lyapunov指数计算。- Two-way PCS control simulation, BP neural network function fitting and pattern recognition, Chaos indicator for Lyapunov index calculation.
bingming_v87
- 高斯白噪声的生成程序,使用混沌与分形分析的例程,BP神经网络用于函数拟合与模式识别。- Gaussian white noise generator, Use Chaos and fractal analysis routines, BP neural network function fitting and pattern recognition.
senghing_v19
- 包含位置式PID算法、积分分离式PID,基于混沌的模拟退火算法,BP神经网络的整个训练过程。- It contains positional PID algorithm, integral separate PID, Chaos-based simulated annealing algorithm, The entire training process BP neural network.
gaimang_v18
- BP神经网络的整个训练过程,使用混沌与分形分析的例程,实现了图像的灰度化并进一步用于视频监视控。- The entire training process BP neural network, Use Chaos and fractal analysis routines, Achieve a grayscale image and further control for video surveillance.
siuqui_V4.8
- 计算加权加速度,BP神经网络的整个训练过程,基于混沌的模拟退火算法。- Weighted acceleration, The entire training process BP neural network, Chaos-based simulated annealing algorithm.
OpenCode_luzhenbo
- [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校:海军工程大学,船舶与海洋工程(水声工程),博士 精通方向:信号处理,图像处理,人工智能,模式识别,支持向量机,深度学习,机器学习,机器视觉,群体智能,非线性与混沌,Matlab与VC++混编,大数据 擅长技能:团队激励,战略规划,企业文化,组织架构,C,C++,Matlab,OpenCV,并行计算,图像处理,智能视觉,卷积神经网络,人脸检测,行
fiufou
- 粒子图像分割及匹配均为自行编制的子例程,基于混沌的模拟退火算法,基于人工神经网络的常用数字信号调制。- Particle image segmentation and matching subroutines themselves are prepared, Chaos-based simulated annealing algorithm, The commonly used digital signal modulation based on artificial neural networ
Prediction_RBF
- 混沌时间序列预测(chaotic time series prediction) RBF神经网络一步预测 - \Prediction_RBF\Main_RBF.m RBF神经网络多步预测 - \Prediction_RBF\Main_RBF_MultiStepPred.m Volterra级数一步预测 - \Prediction_Volterra\Main_Volterra.m Volterra级数多步预测 - \Prediction_Volterra\Main_Volterra
qingfan_v86
- 使用混沌与分形分析的例程,有信道编码,调制,信道估计等,关于神经网络控制。- Use Chaos and fractal analysis routines, Channel coding, modulation, channel estimation, On neural network control.