Description: FastICA算法，用于信号的独立分量分析，在ICA的基础上加快了收敛速度，有更高的效率！并且增加了图象界面，使用方便！-FastICA algorithm, the signal for an independent component analysis, at the ICA on the basis of accelerating the convergence rate, a more efficient! And to increase the image user interface! Platform: |
Size: 50545 |
Author:邱作春 |
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Description: 这次上传的代码是关于特征提取的主要算法之一：ica，其比pca要好-this code is uploaded on the main feature extraction algorithm : ica, better than the PCA Platform: |
Size: 46080 |
Author:李乐 |
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Description: 可以实现若干个函数输入混合后盲信号分离的fastica算法应用-can achieve a number of functions in the importation of a mixture of the Blind Signal Separation fastica algorithm application Platform: |
Size: 1024 |
Author:李健康 |
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Description: FastICA算法，用于信号的独立分量分析，在ICA的基础上加快了收敛速度，有更高的效率！并且增加了图象界面，使用方便！-FastICA algorithm, the signal for an independent component analysis, at the ICA on the basis of accelerating the convergence rate, a more efficient! And to increase the image user interface! Platform: |
Size: 50176 |
Author:chunchiu |
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Description: 盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。-Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied. Platform: |
Size: 1024 |
Author:msw |
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Description: 使用FastICA算法，进行盲源分离，得出源信号。-FastICA algorithm used for blind source separation, arrive at the source of the signal. Platform: |
Size: 1024 |
Author:kaka |
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Description: 关于FASTICA算法的完整应用程序，其中有图像版-FastICA algorithm on a complete application, which has the image version Platform: |
Size: 39936 |
Author:张璇 |
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Description: FASTICA - Fast Independent Component Analysis
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％ FastICA for Matlab 7.x and 6.x
％ Version 2.5, October 19 2005
％ Copyright (c) Hugo G鋠ert, Jarmo Hurri, Jaakko S鋜el� and Aapo Hyv鋜inen.
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％ FASTICA(mixedsig) estimates the independent components from given
％ multidimensional signals. Each row of matrix mixedsig is one
％ observed signal. FASTICA uses Hyvarinen s fixed-point algorithm,-FASTICA- Fast Independent Component Analysis FastICA for Matlab 7.x and 6.x Version 2.5, October 19 2005 Copyright (c) Hugo G鋠ert, Jarmo Hurri, Jaakko S鋜el Platform: |
Size: 5120 |
Author:薛耀斌 |
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Description: 该程序将三副图象混合然后采用FastICA算法将其分离-The program will be three mixed images using FastICA algorithm and then its separation Platform: |
Size: 1024 |
Author:张燊 |
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Description: 基于fastICA的独立分量分析算法中的核心算法-Based on the FastICA Algorithm for Independent Component Analysis of the core algorithm Platform: |
Size: 6144 |
Author:ken |
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Description: FastICA算法，又称固定点(Fixed-Point)算法，是由芬兰赫尔辛基大学Hyvä rinen等人提出来的。是一种快速寻优迭代算法，与普通的神经网络算法不同的是这种算法采用了批处理的方式，即在每一步迭代中有大量的样本数据参与运算。-FastICA algorithm, also known as fixed-point (Fixed-Point) algorithm, University of Helsinki, Finland by Hyvä rinen et al put forward. Is a fast iterative optimization algorithm, with the ordinary neural network algorithm is different from the algorithm used in batch mode, that is, in every iteration step in a large number of samples involved in computing the data. Platform: |
Size: 1024 |
Author:tommydu |
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Description: 利用独立分量分析中的FastICA算法对盲信号源进行了分离。最终通过实验结果表明，独立分量分析可以有效地实现分离。-FastICA algorithm using independent component analysis and blind source separation. Eventually through the experimental results show that the independent component analysis can be effectively separated. Platform: |
Size: 2048 |
Author:王延飞 |
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Search - FastICA algorithm