Search - ICA

Search - ICA - List

【Other】 kbnica DL : 1: The kernel based nonlinear independent component analysis, which consists of two separate steps. First,we map the data to a high dimensional feature space and perform dimension reduction to extract the effective subspace, which was achieved by kernel principal component analysis and can be considered as a pre processing step. Second, we need to adjust a linear transformation in this subspace to make the outputs as statistically independent as possible. In this way, nonlinear ICA, a complex nonlinear problem, is decomposed into two relatively standard procedures. Moreover, to over- come the ill-posedness in nonlinear ICA solutions, we utilize the minimal nonlinear distortion (MND) principle for regularization, in addition to the smoothness regularizer. The MND principle states that we would prefer the nonlinear ICA solution with the mixing system of minimal nonlinear distortion, since in practice the nonlinearity in the data generation procedure is usually not very strong.
Update : 2024-05-08 Size : 533504 Publisher : msreddy
【Other】 Palmer_ICASSP08 DL : 0: We derive an asymptotic Newton algorithm for Quasi-Maximum Likelihood estimation of the ICA mixture model, using the ordinary gradient and Hessian. The probabilistic mixture framework yields an algorithm that can accommodate non-stationary environments and arbitrary source densities. We prove asymptotic stability when the sources models mixture match the true sources. An example application to EEG segmentation is given
Update : 2024-05-08 Size : 494592 Publisher : msreddy
【Algorithm】 LVAICA_009 DL : 0: We consider an extension of ICA and BSS for separating mutually dependent and independent components from two related data sets. We propose a new method which first uses canonical correlation analysis for detecting subspaces of independent and dependent components. Different ICA and BSS methods can after this be used for final separation of these components. Our method has a sound theoretical basis, and it is straightforward to implement and computationally not demanding. Experimental results on synthetic and real-world fMRI data sets demonstrate its good performance.
Update : 2024-05-08 Size : 195584 Publisher : msreddy
【Algorithm】 kernelICA-jmlr DL : 0: We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. On the one hand, we show that our contrast functions are related to mutual information and have desirable mathematical properties as measures of statistical dependence. On the other hand, building on recent developments in kernel methods, we show that these criteria and their derivatives can be computed e±ciently. Minimizing these criteria leads to °exible and robust algorithms for ICA. We illustrate with simulations involving a wide variety of source distributions, showing that our algorithms outperform many of the presently known algorithms.
Update : 2024-05-08 Size : 382976 Publisher : msreddy
【Other】 kernelICA-icassp03 DL : 0: We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. On the one hand, we show that our contrast functions are related to mutual information and have desirable mathematical properties as measures of statistical dependence. On the other hand, building on recent developments in kernel methods, we show that these criteria can be computed efficiently. Minimizing these criteria leads to flexible and robust algorithms for ICA. We illustrate with simulations involving a wide variety of source distributions, showing that our algorithms outperform many of the presently known algorithms
Update : 2024-05-08 Size : 82944 Publisher : msreddy
【Software Engineering】 ICA_EEMD DL : 1: 是一个最新的EEMD处理单道ICA的问题，有国外文章自带的源代码，简单好用。-Is a latest the EEMD processing single channel ICA problem the foreign article comes with source code, simple and easy to use.
Update : 2024-05-08 Size : 12288 Publisher : 点附近
【Software Engineering】 SVD_ICA DL : 0: 是一个传统的奇异值分解来处理单道ICA的问题的程序代码，希望有帮助。-A traditional Singular Value Decomposition to deal with the problem of single-channel ICA program code, and want to help.
Update : 2024-05-08 Size : 1024 Publisher : 点附近
【matlab】 ICAPPG DL : 0: 用ICA方法分离出脉搏波信号中的运动干扰信号，已经调试通过-ICA to isolate the the movement interference signal pulse wave signal, debugging has been passed
Update : 2024-05-08 Size : 1024 Publisher : 谭双平
【Audio program】 ica DL : 0: The goal of this project is separate the sound mixtures (.wav) to source signal. -it is an audio blind source separation with independent component analysis. In the file , it contains correlation.m, decorrelation.m, ica_.m , joint_diag.m, permuation.m, separation.m, Readme.txt ,X_linear.wav,X_room.wav and readme.txt can help users operate the code correctly. Beside the X_linear.wav,X_room.wav is the sound mixtures is considered as input signal
Update : 2024-05-08 Size : 125952 Publisher : liu
【Graph Recognize】 Sym_ICA1 DL : 0: 基于对称图像矩阵的ICA人脸识别方法,其中训练样本为RL库中前20组的前五幅图像。输入（即测试样本）为前20组的后五幅图像，输出为与输入匹配的训练样本.-ICA face recognation
Update : 2024-05-08 Size : 2048 Publisher : 王圳萍
【matlab】 ICA DL : 0: 基于独立分量分析去除肌电信号中的工频干扰及其谐波分量-Filter the power line interference and its harmonic in EMG
Update : 2024-05-08 Size : 5902336 Publisher : 牛牛
【Other】 ICA DL : 0: fastICA可执行程序，用于盲源分离。-fastICA executable program for blind source separation
Update : 2024-05-08 Size : 1024 Publisher : 樱子猪
【Post-TeleCom sofeware systems】 tidu_ICA DL : 0: 梯度ICA方法用来解决独立分量分析问题，通信方面的-the code of independent component analysis of matlab
Update : 2024-05-08 Size : 1024 Publisher : MARRY
【assembly language】 work DL : 0: 对三路信号进行分离，基于峭度和基于负熵的独立分量分析（ICA）-The three way signal separation, based on the kurtosis and independent component analysis (ICA) based on negative entropy
Update : 2024-05-08 Size : 2048 Publisher : 彭泓龙
【Other】 Imperialistic-Competitive-Algorithm-(ICA)-IEEE-CE DL : 0: Basics of Imperialist CompetitveAlgorithm-Global Optimization Strategy using matlab
Update : 2024-05-08 Size : 439296 Publisher : maruliyabegam
【matlab】 sdica DL : 0: 硕博美国留学的中科大本科毕业的研究独立分量分析的一位牛人编写的子带ica的matlab程序。研究盲源分离的必备。-USTC graduated Shuobo study in the United States of an independent component analysis cattle were prepared subband ica matlab program. Study the blind source separation essential.
Update : 2024-05-08 Size : 490496 Publisher : 陈建国
【matlab】 ica_D_R DL : 1: 具有参考信号的独立分量分析程序，国外的提出这个问题的人编写的。-Independent component analysis (ICA) program with a reference signal abroad website.
Update : 2024-05-08 Size : 2048 Publisher : 陈建国
【matlab】 ICA_gradient_descent DL : 0: ICA梯度下降算法，里面包含了数据用来验证梯度下降算法的实现过程。对ICA的具体算法有清楚的了解。-ICA gradient descent algorithm, which contains the data used to verify the gradient descent algorithm implementation process. Have a clear understanding of the specific algorithms of ICA.
Update : 2024-05-08 Size : 43008 Publisher : 陈建国
【AI-NN-PR】 332 DL : 0: 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 ratio, which greatly limits the application of existing diagnostic methods in the early diagnosis, how to obtain the actual vibration signal is to improve the quality of early gearbox fault diagnosis, independent component analysis (ICA) to provide a new way of thinking. In this paper, the application of the ICA in the early diagnosis of gearbox failure, the first analysis of the the mixed vibration signal model of the gearbox, then conducted experiments for specific bearing failure, isolated bearing vibration signal and use the fast ICA algorithm
Update : 2024-05-08 Size : 245760 Publisher : 张力
【matlab】 infomax DL : 0: 一种在盲源分离中用到的互信息最大化Ica算法的matlab程序-Mutual information maximization Ica used a blind source separation algorithm matlab program
Update : 2024-05-08 Size : 1024 Publisher : wangmeng

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