搜索资源列表
ICA
- 基于负熵最大的独立分量分析算法，可以将独立的混合信号分离-Based on the negative entropy of the largest independent component analysis algorithm can be a separate mixed-signal separation
icabss
- 一种高效快速的线性混合新河盲分离ICA算法，提供了6个源信号以供参考，分离效果很好-An efficient linear mixed fast ICA algorithm for blind source separation New River, providing 6 source signal for reference, a good separation effect
ICA_Simulation_Audio
- This source code simulates the separating the mixed audio to two source audio by Independent Component Analysis (ICA) algorithm. This program has GUI to display the mixed audio signal spectrum and the two source audio spectrums.
ica_matlab
- Shiro Ikeda写的关于ica的算法，用于EMG和声音等混合信号的分离。 该软件包中包含2个推荐的声音文件可做仿真。-Shiro Ikeda written about ica algorithms for EMG and sound, and mixed-signal separation. The package contains two sound files to do the recommended simulation.
ICA
- ICA算法处理混合声信号分离技术中的程序-ICA algorithms for mixed sound signal separation process in
mfile
- ICA盲源分离方法，可以很快的分离混合信号，对初学者有很大的帮助。-ICA blind source separation methods, can quickly separate mixed signal, there is a great help for beginners.
ICA---EASI
- 盲信号语音分离的程序，基于独立分量的分离程序，若输入两个源信号，则可以输出一组混合信号和分离后的信号-Blind signal speech separation procedure, based on independent component separation procedure, enter the two source signals, the output signal after a group of mixed-signal and separation
332
- 齿轮箱早期的故障信号往往十分微弱,信噪比低,这大大限制了已有诊断方法在早期诊断中的应用,因此如何获取真实的振动信号是提高齿轮箱早期故障诊断质量的关键,独立分量分析(ICA)为此提供了一种新的思路。文 中研究了ICA在齿轮箱故障早期诊断中的应用,首先分析了齿轮箱的混合振动信号模型,然后针对具体的轴承故障进行了实验,并使用快速ICA算法分离出轴承的振动信号-The early gearbox fault signal is often very weak, low signal-to-noise
isctest
- matlab程序，一种快速ICA算法，用于混合信号盲分离，可应用于通信系统信号处理-matlab program, a fast ICA algorithm for blind separation of mixed signals, signal processing can be used in communication systems
FastICA_25
- FastICA matlab小工具箱，可以对信号进行ICA处理，实现混合信号的成分分离-FastICA matlab small toolbox, ICA can signal processing, mixed signal component separation
tsrfmraz
- 时间序列数据分析中的梅林变换工具，插值与拟合，解方程，数据分析，现代信号处理中谱估计在matlab中的使用，能量熵的计算，利用贝叶斯原理估计混合logit模型的参数，采用偏最小二乘法，ICA（主分量分析）算法和程序，计算加权加速度。- Time series data analysis Mellin transform tool, Interpolation and fitting, solution of equations, data analysis, Modern signal proc
yrfdtvzk
- ICA（主分量分析）算法和程序，在matlab R2009b调试通过，自己编的5种调制信号，是本科毕设的题目，最小均方误差（MMSE）的算法，采用热核构造权重，已调制信号计算其普相关密度，利用贝叶斯原理估计混合logit模型的参数。- ICA (Principal Component Analysis) algorithm and procedures, In matlab R2009b debugging through, Own five modulation signal, The tit
rmfzwqhd
- 基于欧几里得距离的聚类分析，利用贝叶斯原理估计混合logit模型的参数，ICA（主分量分析）算法和程序，预报误差法参数辨识-松弛的思想，感应双馈发电机系统的仿真，解耦，恢复原信号，matlab程序运行时导入数据文件作为输入参数，对于初学者具有参考意义。- Clustering analysis based on Euclidean distance, Bayesian parameter estimation principle mixed logit model, ICA (Principal
ICA
- 独立成分分析(Independent Component Analysis，ICA)是近年来提出的非常有效的数据分析工具，它主要用来从混合数据中提取出原始的独立信号。它作为信号分离的一种有效方法而受到广泛的关注。-Independent component analysis (ICA) is proposed in recent years very effective tool for data analysis. It is mainly used to extract the origin
FastICA
- 快速分析独立主成分算法，可以分离信号和混合数据-Fast ICA algorithm, the signal can be separated and mixed data
guntun_v11
- 基于欧几里得距离的聚类分析，利用贝叶斯原理估计混合logit模型的参数，ICA（主分量分析）算法和程序，预报误差法参数辨识-松弛的思想，感应双馈发电机系统的仿真，解耦，恢复原信号，matlab程序运行时导入数据文件作为输入参数，对于初学者具有参考意义。 - Clustering analysis based on Euclidean distance, Bayesian parameter estimation principle mixed logit model, ICA (Princi
fecg-paper
- The study presents a method to separate the fetal electrocardiograph(FECG) from concomitant maternal electrocardiograph (MECG) by using Fast Independent component analysis(ICA) algorithm of Blind Signal Separation. Current methods of extracting f
sanqao
- 基于欧几里得距离的聚类分析，利用贝叶斯原理估计混合logit模型的参数，ICA（主分量分析）算法和程序，预报误差法参数辨识-松弛的思想，感应双馈发电机系统的仿真，解耦，恢复原信号，matlab程序运行时导入数据文件作为输入参数，对于初学者具有参考意义。 - Clustering analysis based on Euclidean distance, Bayesian parameter estimation principle mixed logit model, ICA (Princi
ICA
- ICA算法可以提取个混合信号中各独立分量-The ICA algorithm can extract independent components in a mixed signal