搜索资源列表
saperate4
- 基于广义特征值和核函数的非线性盲分离算法.pdf-Based on the generalized eigenvalue and nuclear function algorithm for nonlinear blind source separation. Pdf
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.
splitmerge_matlab_program
- 关于图像分割、区域分离和合并的matlab程序-On image segmentation, region separation and merger procedures matlab
PAST_disp_signal
- 基于非线性主分量分析(PAST)的 自适应盲信号分离 -Based on nonlinear principal component analysis (PAST) Adaptive Blind Signal Separation
signal
- 基于盲源信号分离的实例,适合于初学者学习和训练-ICA
20090226
- 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的 分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分 量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混 合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the indep
newICA
- 一种新的ICA算法,能够很好地对一维信号进行盲源分离,并有例程-A new ICA algorithm, very good to be able to one-dimensional signals, blind source separation, and have routine
Filterbankbasedblindsignaseparationwithestimatedso
- 采用滤波器组,将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理,并且在每个子带中进行声源定位,最后综合所有子带估计的方向得到多个声源的方位信息,同时将声源信息作为ICA分析的约束条件,可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向,再加以合适的权值均衡后即可得到更优的估计。-The use of filters will be blind source separation and sound
BSS_Demo4SP_20Mar2k5
- 定点频域ICA,使用高斯函数、负熵最大化来处理语音信号分离问题的演示-FIXED-POINT FREQUENCY DOMAIN ICA with GENERALIZED GAUSSIAN FUNCTION BASED NEGENTROPY APPROXIMATION for SPEECH SIGNAL SEPARATION
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!
FastICA_25
- 独立分量分析的算法,用于分离出独立分量,用于图像降维,特征提取-Independent component analysis algorithms, used to separate out the independent component for the image dimensionality reduction, feature extraction
BS-NG
- 盲信号自然梯度法盲分离程序,用于进行瞬时盲分离-Natural Gradient Blind Signal Separation legal procedures, for instantaneous blind source separation
BSS_FastICA_matlab
- 用于盲信号分离的独立分量分析和主元分量分解以及独立分量分解的代码-For Blind Signal Separation of independent component analysis and principal component decomposition and independent component decomposition of the code
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
ocica97-p
- 这是一篇ica盲源分离方法的技术文章 Overcomplete 的方法来解决-Blind Source Separation of More Sources Than Mixtures Using Overcomplete Representations
qqqqq
- :独立成分分析 ( I C A)在国内尚属一门新型的方法 介绍了I C A的原理及其算法 ,然后介绍了该算法在盲源 信号分离中的具体应用,并将此方法 与主成分方洼 ( P C A)进行了比较-: Independent Component Analysis (ICA) in China is a new method to introduce the principle of the ICA and its algorithm,
bayesys
- 贝叶斯算法:盲分离技术,信号处理技术,信息论与编码-Bayesian
DOA_classical
- 这是利用MUsic和盲分离算法求解DOA的程序-This is the use of MUsic and blind source separation algorithm procedures DOA
fenge
- 可以实现对目标的分割和提取,对背景可以分离-shi xian mu biao fen ge