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Description: 本文提出一种基于增广拉格朗日法的非线性约束优化算法用于独立成份分析(ICA), 仿真试验结果表明此方法可以有效的用于独立成份的分离. -This paper presents a broad-based increase Lagrange method of nonlinear constrained optimization algorithm for the independent component analysis (ICA), the simulation results show that this method can be effective for the separation of independent components.
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Size: 89798 |
Author: 周周 |
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Description: 非线性ICA_Toolbox
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Size: 54161 |
Author: yushaohui |
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Description: 本文提出一种基于增广拉格朗日法的非线性约束优化算法用于独立成份分析(ICA), 仿真试验结果表明此方法可以有效的用于独立成份的分离. -This paper presents a broad-based increase Lagrange method of nonlinear constrained optimization algorithm for the independent component analysis (ICA), the simulation results show that this method can be effective for the separation of independent components.
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Size: 89088 |
Author: 周周 |
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Description: ：介绍了独立成分分析(ICA)的基本模型及其假设、含混性、非高斯性度量和通用求解过程。讨论了目前ICA 的几个研究方向的发展现状和面临的问题，分析了ICA 基本模型和几种扩展模型的求解算法，包括盲反卷积、卷积混和的盲分离、非线性瞬时混合的盲分离。提出了ICA 未来理论和应用研究中的开放课题。-: Introduce the independent component analysis (ICA) the basic model and its assumptions, vague, non-Gaussian measurement and GM solving process. Discussion of the current ICA several research directions of the development of the current situation and the problems faced by an analysis of the basic ICA model and several extended model algorithm, including the blind deconvolution, convolution mixture of blind source separation, nonlinear transient mixed Blind Source Separation. Proposed ICA future theoretical and applied research topics in the open.
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Size: 542720 |
Author: wangzhigang |
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Description: 一共包含了5个ICA的算法，其中：
fastica.m文件中的ICA算法是基于负熵的；
m_fastica.m文件中的ICA算法是基于负熵的改进算法；
fastica_kurt.m文件中的ICA算法是基于峭度的；
fastica_ML.m文件中的ICA算法是基于互信息的；
NLPCA.m文件中的ICA算法是基于非线性PCA的。-Contains a total of five ICA algorithm, in which: fastica.m file in the ICA algorithm is based on negative entropy m_fastica.m file in the ICA algorithm is based on negative entropy of the improved algorithm fastica_kurt.m file in the ICA algorithm is Based on Kurtosis fastica_ML.m file in the ICA algorithm is based on mutual information NLPCA.m file in the ICA algorithm is based on nonlinear PCA' s.
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Size: 5120 |
Author: nifeng |
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Description: 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-Nonlinear independent component analysis (ICA) source, mainly for non-linear ICA for blind source separation algorithm function
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Size: 8192 |
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Description: 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.
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Size: 533504 |
Author: msreddy |
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Description: 工具箱描述了基于神经网络的变速率非线性盲源分离ICA算法研究-Toolbox describes the nonlinear blind source separation based on neural network of variable rate ICA algorithm research
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Size: 605184 |
Author: 一一 |
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Description: 阐述了负荷预测的应用研究,用于建立主成分分析模型，在MATLAB中求图像纹理特征，用于图像处理的独立分量分析，ICA（主分量分析）算法和程序，具有丰富的参数选项,基于分段非线性权重值的Pso算法。- It describes the application of load forecasting, Principal component analysis model for establishing, In the MATLAB image texture feature, Independent component analysis for image processing, ICA (Principal Component Analysis) algorithm and procedures, It has a wealth of parameter options, Based on piecewise nonlinear weight value Pso algorithm.
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Size: 11264 |
Author: srdwp |
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Description: ICA（主分量分析）算法和程序，表示出两帧图像间各个像素点的相对情况，isodata 迭代自组织的数据分析，数据模型归一化，模态振动，随机调制信号下的模拟ppm，采用波束成形技术的BER计算，基于分段非线性权重值的Pso算法。- ICA (Principal Component Analysis) algorithm and procedures, Between two images showing the relative circumstances of each pixel, Isodata iterative self-organizing data analysis, Normalized data model, modal vibration, Random ppm modulated analog signal under By applying the beam forming technology of BER Based on piecewise nonlinear weight value Pso algorithm.
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Size: 6144 |
Author: 徐新花 |
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Description: 基于分段非线性权重值的Pso算法，二维声子晶体FDTD方法计算禁带宽度的例子,ICA（主分量分析）算法和程序。- Based on piecewise nonlinear weight value Pso algorithm, Dimensional phononic crystals FDTD method calculation examples band gap, ICA (Principal Component Analysis) algorithm and procedures.
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Size: 4096 |
Author: lengfou |
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Description: 利用最小二乘法进行拟合多元非线性方程，最小均方误差（MMSE）的算法，ICA（主分量分析）算法和程序。- Multivariate least squares fitting method of nonlinear equations, Minimum mean square error (MMSE) algorithm, ICA (Principal Component Analysis) algorithm and procedures.
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Size: 5120 |
Author: meitiu |
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Description: 利用最小二乘法进行拟合多元非线性方程，ICA（主分量分析）算法和程序，GSM中GMSK调制信号的产生。- Multivariate least squares fitting method of nonlinear equations, ICA (Principal Component Analysis) algorithm and procedures, GSM is GMSK modulation signal generation.
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Size: 7168 |
Author: 党继 |
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Description: ICA（主分量分析）算法和程序，计算互信息非常有用的一组程序,关于非线性离散系统辨识。- ICA (Principal Component Analysis) algorithm and procedures, Mutual information is useful to calculate a set of procedures, Nonlinear discrete system identification.
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Size: 5120 |
Author: 徐亮 |
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Description: 各种资源分配算法实现，基于分段非线性权重值的Pso算法，ICA（主分量分析）算法和程序。- Various resource allocation algorithm, Based on piecewise nonlinear weight value Pso algorithm, ICA (Principal Component Analysis) algorithm and procedures.
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Size: 9216 |
Author: 宋少 |
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Description: ICA（主分量分析）算法和程序，利用最小二乘法进行拟合多元非线性方程，包括主成分分析、因子分析、贝叶斯分析。- ICA (Principal Component Analysis) algorithm and procedures, Multivariate least squares fitting method of nonlinear equations, Including principal component analysis, factor analysis, Bayesian analysis.
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Size: 4096 |
Author: 张卫超 |
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