搜索资源列表
sobi
- 一种基于信号二阶统计量的盲源分离方法,SOBI方法,二阶盲辨识方法-SOBI
Blind_Source_Separation
- 两个盲源分离程序 分别对应文章《Underdetermined Blind Source Separation using Sparse Representations》和《Underdetermined blind separation of delayed sound sources in the frequency domain》-Blind Source Separation
eee
- 对盲信号分离的有关发展、重要理论和方法作一综述。-Pairs of blind signal separation on the development of important theories and methods are reviewed.
FastICA_25
- 这是关于fastICA不定点算法的程序,运行环境为matlab,可实现盲信号分离-This is about non-fixed-point algorithm fastICA program, running environment for matlab, can realize blind signal separation
snr
- 基于最大信噪比的盲源分离算法,适合初学者使用-Based on the maximum signal to noise ratio Blind source separation algorithm
PAST
- PAST算法程序,可以用于信号处理、盲信号分离-past algorithm
sanfuICA
- 本程序通过优化ICA算法实现了混合图像的盲源分离,分离效果优于一般ICA算法-This procedure optimized ICA algorithm is a mixed picture of blind source separation, separation is better than the general ICA algorithm is
bbs_bbs1
- 盲信号分离源程序。包括FICA算法和INFOMAX短发-Blind signal separation source. Include FICA algorithms and INFOMAX short hair
bssalgorithm
- 自己编写的,盲源分离算法仿真分析系统(图形界面)又名:独立分量分析;算法种类:自然梯度算法、投影自然梯度算法、FastICA、SOBI、NJD非正交联合对角化。信号种类: MASK:2ASK,4ASK,8ASK MPSK:2PSK、4PSK、8PSK MFSK:2FSK、4FSK、8FSK 分连续相位CPFSK和离散相位DPFSK两种 MQAM:16QAM、32QAM、64QAM、128QAM OFDM:子载波数可任意选定,映射方式有BPSK、QPSK、4QAM、16QAM、
LMS
- 用于盲信号分离的LMS算法,可以从混合的观测向量中分离出需要的信号,判读的标准是计算串音误差-For the LMS algorithm for blind signal separation can be observed from the hybrid vector needs to separate out the signals, the standard interpretation is to calculate the crosstalk error
infomx
- 实现盲信号分离的独立成分分析的算法,用Informax实现-the arithmetic realize the ica
Informax_FastICA
- 一个基于信息最大化的盲信号分离算法,详细的文章可以在网络上搜索。-One based on information maximization algorithm for blind signal separation, detailed article on the network search.
jcwtlib-0.01.tar
- 独立成分分析(Independent Component Analysis, ICA)是近年来发展起来的一种有效的盲分离技术,最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题,其过程可以归纳为,在源信号与传输通道参数均未知的情况下,仅根据源信号的统计特性,出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据,即目标函数,并设计相应的优化算法,寻求最优的分离矩阵,使得输出信号中各分量尽可能相互独
FastICA_2.1
- 很好的盲信号分离软件,可以实现降维和独立分量成分的分离-A very good software for blind signal separation can be achieved dimension reduction and independent component separation of components
15883860ggsnr
- 基于最大信噪比的盲源分离算法,可以用来和其它算法进行比较-Based on the maximum signal to noise ratio Blind source separation algorithm, and other algorithms can be used to compare
blind_seperate
- 一种基于遗传算法的盲分离方法的文章,给出的仿真效果。-Based on genetic algorithm approach for blind separation of the article gives the simulation results.
icacovb.m
- 一个盲信号分离的卷积方法,适合分离实际卷积混合的模型,希望对初学者有帮助。-Convolution of a blind signal separation method, suitable for separation of the real convolution mixture model, want to help beginners.
gui_help
- FastICA是应用非常广泛的盲分离算法,上传一个 其工具箱的使用文档,希望对初学者有帮助。-FastICA is a very broad application of blind source separation algorithm is used to upload a document of their toolbox, hope to be helpful for beginners.
ICAforImage
- 一个对几幅图象进行盲信号分离的MATLAB程序。 分离性能还不错。-The pieces of an image for Blind Signal Separation of the MATLAB program. Separation performance is not bad.
ToolboxBSS
- 不错的盲源分离工具箱,实现对声源的分离,包含多个子程序-a nice toolbox of blind source separation used to separate multiple sources