搜索资源列表
Goge1
- 盲源分离算法,该算法能够从混合信号中分离出原始信号。已用MATLAB验证:程序从正弦信号和随机噪声信号的混合信号中成功地分离出了正弦信号和噪声信号。程序保证能正确运行。-Blind source separation algorithm, which can be separated from the mixed signal the original signal. Has been verified with MATLAB: Program from the sinusoidal signa
NonlinearICA_Toolbox
- 非线性独立分量分析(ICA)源码,主要是用于非线性ICA进行盲源分离算法的函数-independent component analysis (ICA)
AMulti-sourceImagFusionAlgorithmUsingICA
- 一种基于ICA的多源图像融合算法为了尽可能 达到这一要求,在分析盲源分离理论的基础上,提出了一种基于独立分量分析(ICA)的图像融合算法。-ICA-based multi-source image fusion algorithm in order to meet this requirement as far as possible, in the analysis of blind source separation based on the theory put forward bas
convolution
- 本算法针对盲源分离卷积算法,可以直接使用,效果很好-The convolution algorithm for blind source separation algorithm can be directly used with good results
fastica
- 采用fastica算法的盲源分离,对于线性混合的信号,分离效果很好-By fastica blind source separation algorithm
BSS_wavelet
- 小波域的盲源分离,可以有效地去除噪声,尤其是在胎儿心电提取方面-Wavelet domain blind source separation can effectively remove the noise, especially in regard to extraction of fetal ECG
Wavelet_De-noising_for_BSS
- 提出了三种小波滤波和盲源分离的结合方法,用于带噪信号的分离,-Three wavelet filtering and the combination of blind source separation method for separation of signals with noise,
BSS_with_convolutive_noise
- 盲源分离中,卷积噪声的去除,内容比较新,Spring下载的-Blind source separation, the convolutional noise removal, as relatively new, Spring download
tuxiangfuyuan
- 该程序为盲源分离的仿真程序,对卷积模型的混合图像信号进行分离-The program for the blind source separation of the simulation program, a mixed model of convolution image signal separation
saperate
- 信源数动态变化的自适应盲分离算法-一种新的盲源分离算法,与大家共享。-Source number of dynamic changes of adaptive blind source separation algorithm- a new blind source separation algorithm, and for all to share.
saperate5
- 盲源分离——理论、应用与展望.pdf-详细介绍了盲源分离的理论和应用。-Blind Source Separation- Theory, Application and Prospects. Pdf-detailed information on blind source separation theory and applications.
FastICA
- 盲源分离中最为经典的不动点算法——FastICA,该算法简单,对初学者有很大的帮助-Blind Source Separation in the most classical fixed-point algorithm- FastICA, the algorithm is simple, for beginners there is a great help
kpca
- KPCA是一种非线性的盲源分离方法,很好用,推荐大家下载!-KPCA is a nonlinear blind source separation methods, very good, and recommend everyone to download!
ica_r
- 带参考信号的盲源分离,很好用的程序,用于语音增强-ICA-R
zishiyingfufankui
- 用于神经网络自适应算法的Matla盲源分离 -Adaptive algorithm for neural networks of the Matla Blind Source Separation
Wigner_Hough
- 一种基于盲源分离和Wigner_Hough变换的线性调频信号检测方法.模式识别中的内容,图像图像处理的经典算法-Based on Blind Source Separation and Chirp Transform Wigner_Hough signal detection methods. Of the contents of pattern recognition, image of the classical image processing algorithm
SOBI
- 基于二阶统计量的盲源分离算法程序,对原始算法做了一定得改进。-blind source separation based on second order statistics,madke some improvement to the origin arithmetic
jade
- 基于四阶统计量的盲源分离算法,它是特征矩阵联合对角化的简称-Fourth-order statistics-based blind source separation algorithm, it is the characteristic matrix referred to as the joint diagonalization
IcaComonMatlab.tar
- 独立成分分析是近年来出现的一种强有力的数据分析工具。1994年由Comon给出了ICA的一个较为严格的数学定义,其思想最早是由Heranlt和Jutten于1986年提出来的。ICA从出现到现在虽然时间不长,然而无论从理论上还是应用上,它正受到越来越多的关注,成为国内外研究的一个热点。特别是从应用角度看,它的应用领域与应用前景都是非常广阔的,目前主要应用于盲源分离、图像处理、语言识别、通信、生物医学信号处理、脑功能成像研究、故障诊断、特征提取、金融时间序列分析和数据挖掘等。 IC
JAD
- JAD矩阵联合对角化,此数据包包括各种矩阵联合对角化的方法,JADE特征矩阵联合对角化,盲源分离方法的经典方法。有Cardoso开发-JAD,JADE